Introduction to SAP Data Intelligence and SAP Data Hub

PUBLIC

Introduction to SAP Data Intelligence and SAP Data Hub

DAT302

2PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Las VegasSeptember 24ndash27 2019

Marc Hartz

BarcelonaOctober 8-10 2019

Marc Hartz

BangaloreNovember 13-15 2019

Lalitendu Samantray

Speakers


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DAT302 on the SAP TechEd mobile app


The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission o f SAP

Except for your obligation to protect confidential information this presentation is not subject to your license agreement or any other service

or subscription agreement with SAP SAP has no obligation to pursue any course of business outlined in this presentation or any related

document or to develop or release any functionality mentioned therein

This presentation or any related document and SAPs strategy and possible future developments products and or platforms directions and

functionality are all subject to change and may be changed by SAP at any time for any reason without notice The information in this

presentation is not a commitment promise or legal obligation to deliver any material code or functionality This presentat ion is provided

without a warranty of any kind either express or implied including but not limited to the implied warranties of merchantability fitness for a

particular purpose or non-infringement This presentation is for informational purposes and may not be incorporated into a contract SAP

assumes no responsibility for errors or omissions in this presentation except if such damages were caused by SAPrsquos intentional or gross

negligence

All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ material ly from

expectations Readers are cautioned not to place undue reliance on these forward-looking statements which speak only as of their dates

and they should not be relied upon in making purchasing decisions

Disclaimer


SAP Data Hub amp SAP Data Intelligence

Capability Overview

What is the difference

Data Integration amp Processing

Governance amp Meta Data

ML Scenario Management

Agenda

Introduction


Bringing together enterprise applications and intelligent technologiesNew Opportunities and new challenges

Various data sources

Enterprise Apps

ERP CRM HR

BI and

Visualization

Artificial

Intelligence Cloud AppsMetadata

Management

Enterprise ApplicationsOperationalize and maintain

intelligent enterprise applications to

assist in solving enterprise

challenges in a sustainable way

Intelligent TechnologiesHarness intelligent technologies

to create and enrich enterprise

applications

Data Management Take care of

bull different data types

bull data governance

bull data integration

bull orchestration of data

processing

Business

IT


Challenges when delivering intelligent enterprise applicationsOvercoming silos and complexity to operationalize the machine learning lifecycle

Lack of data governancebull Where is the data stored

bull How is the data quality

bull Who can access the data

Lack of data integrationbull How to orchestrate external

processes

bull What applications draw data from

which data sources

bull How to make use of the results in

daily business

Lack of scalabilitybull What about the performance of

the prediction service

bull How can we incorporate the

results in multiple applications

bull How can we set up and

orchestrate a proper lifecycle


What is SAP Data Intelligence amp SAP Data Hub

Create data pipelines to leverage

your data projects and orchestrate

the data integration processes

Harness the advanced machine learning

content to accelerate and scale and

automate your Data Science projects

Manage metadata across a

diverse data landscape and

create a metadata repository

One solution to support the End-to-End workflow of delivering

intelligent enterprise applications and business processes

Access amp

connect dataGovern amp

discover data

Prepare amp

manage data

Build scalable

amp flexible data

processes

Deploy amp integrate

intelligent

scenarios

Monitor amp

orchestrate

the lifecycle


SAP Data IntelligenceArchitecture View

External

Connections

Data Lakes Cloud Stores

SAP HANA

On-premise systems

SAP S4HANA

3rd Party Databases

SAP BW4HANA

Machine Learning Content

SAP Data Intelligence

Jupyter Lab

Data Governance

Metadata

Management

Data

Preparation

amp Labeling

Access

Governance

Integration amp Orchestration

Pipeline

ModelingData

WorkflowsAPI Access

ML Operations

CockpitML Scenario

Manager

Pipelines

SAP

ConnectorsABAP

IntegrationMessaging

Streaming

Cloud Data

Integration

ML

Operators

Custom

Code

Application Platfom System Applications

Processing Runtime

Tenant

Management

Monitoring amp

Logging

System Management

Content

LifecycleRepository

Internal

HANAQueryable

Data LakeWarm Data

Cache


Deployment Options

Private cloud On-premise

installations

Public cloud

Kubernetes serviceSAP Cloud Platform


Please always check the Product Availability Matrix for the latest information about

supported OS Kubernetes versions certified partners and any other restrictions




SAP Data Intelligence End to End Data Integration and Processing

SAP Applications Distributed amp External

Data Systems

SAP Data Intelligence (OP aaS)

SAP HANA

Integration

Cloud Data

Integration

ABAP

Integration

WorkflowsBW Process

Chains

Data Services

JobsHANA

Flowgraphs

hellip

SAP

NetWeaver + DMIS Addon

BW

Integration

SAC Push API

SAP BWSAP BW4 HANA

SAP Analytics Cloud

(on-premise cloud multi cloud)

Standard

Connectors(open amp native

protocols)

Cloud Storages

Hadoop HDFS

Databases

3rd Party Applications

Streaming (eg IoT)

Public Clouds

SCI for process

integration

SAP Open

Connectors

SAP API

Business Hub

REST APIs

SAP Cloud

Platform

Connectors

3rd Party

Connectors

ML DeploymentAutomate Scale

Serve

ExplorationIdentify Data

preprocessing

Model DesignCreation Training

Validation

Data Pipelining amp Processing

Data ingestion Data Processing Data Enrichment

Data Orchestration amp Monitoring

Connection Management Workflows Scheduling

Data Governance

Data Discovery Data Profiling Metadata Cataloging


Extensible

Standard operators

CustomPartner operators

Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage

Schedule (stream time interval)

Observe

Re-Usability

Building Data-Driven ApplicationsPipeline

Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis


Connectivity

Connectivity via Flowagent

Data Quality Leonardo MLF

Non-SAP Data IntegrationBuilt-in Standard Connectors

- Azure Data Lake (ADL)

- Google Cloud Storage (GCS)

- HDFS

- Amazon S3

- Azure Storage Blob (WASB)

- Local File System (file)

- SAP Semantic Data Lake

- WebHDFS

SAP Vora

Spark Hadoop- Spark

- Spark SQL

- PySpark

- Hive

hellip


Integration with ABAP-based SAP Systems

One model to consolidate all interaction scenarios between SAP Data Hub

and an ABAP-based SAP systems directional and bi-directional

Provide ABAP metadata to the

SAP Data Hub Metadata Explorer

ABAP functional execution that is

triggerable as a SAP Data Hub operator

ABAP data provisioning to

transfer data into SAP Data Hub

Capabilities

Integration requires certain system level planned at least SAP S4HANA 1909 SAP S4HANA cloud 1908 SAP NetWeaver 700

with DMIS 20112018 Q42019 version Certain functionality can only be made available for certain release levels

SAP Data Hub

SAP Business Warehouse

SAP Business Suite


Available Pipeline Operators

SAP BW Process Chain

ndash Trigger execution of a process chain on a SAP BW system

Data Transfer (SAP BW amp SAP HANA)

ndash Transfer data (query infoprovider tables views) from SAP BW SAP HANA

into big data stores or SAP Vora tables

ndash Via INA interface or direct access to HANA (Calculation Views)

Typical Scenarios

Load Data from Data Lake into BW

Data Tiering from BW into Data Lake

Integration with SAP Business Warehouse


SAP internal Lead-to-Cash Scenario Understand internal process inefficiencies all the way from demand

management to maintaining a deal through process mining in Celonis leveraging SAP Data Hub

Involved Steps1 Collect purchase related activities in ERP system (SAP S4HANA)

2 Anonymize personal data transform activities into required event log structure to do process mining and

upload event log to Celonis Cloud (SAP Data Hub + 3rd Party Adapter from Celonis)

3 Run Process Mining (Celonis Cloud)

Example Data Integration amp Processing Example with Celonis Process Mining

SAP Data Hub

Celonis

Intelligent

Business

Cloud

1 32

Data UploadData

Ingestion

Triggers the

Pipeline and

provides SQL

SELECT for

HANA

Creates Push Job

in IBC for given

inputExecutes SQL query

and produces data

output in batches

Pushes the data

chunk by chunk to

the created data

push job and

submits the data

after the last chunk

Stops the pipeline

once the last chunk

was pushed

De-identification of

personal data

Data Pipeline



Active metadata governance Use a self-learning

approach to improve the consistency accuracy and

completeness of the metadata

Benefits

Use a unified metadata catalog to gain visibility about

landscape wide data assets

Easily govern and manage metadata assets across

enterprise system disparate the source

Discover understand and consume information about data

with the ability to synchronize share and perform version

lineage and impact analysis

Answer related information requests without browsing

through multiple systems or repositories or touching various

data models

Support non-domain experts in evaluating data quality and

the impact of changes

Enable active governance based on risk and policies

Use metadata marketplaces supporting the monetizing of

metadata

SAP Data HubUpcoming short and midterm innovations

SAP Data Hub ndash metadata governance

Discovery and

profilingSearch Lineage

Impact

PreparationAutomation

suggestions

Biz rules

policies

security

Metadata catalog

Metadata crawlers Manual definition

SAP Data Hub sources(DBs SAP HANA SAP BW

object stores EDWs

WSAPIs Hadoop noSQL

enterprise applications dev

platforms APIs SDK hellip)

Connected Sources

Other metadata repositories(SAP Information Steward

SAP PowerDesigner SAP

EA Designer AtlasNavigator

Hive APIshellip)

Collaborativedefinition

workflows

Open

APIs

VisionSAP Data Hub


Metadata amp Data ExcellenceMetadata extraction for SAP S4HANA amp SAP Business Suite systems

Providing metadata of ABAP-based SAP systems in SAP Data Hub Metadata Explorer

Capabilities

Receive metadata information of tables Views CDS Views

and custom CDS views (depending on source system)

Covering of standard metadata functions like to browse

preview publish and catalogue relevant metadata information

Communication can be established via RFC or HTTP but with

different functional coverage check note SAP Note

2731192



Understanding metadata of

ABAP-based SAP systems


Metadata amp Data ExcellenceEmbedded self-service data preparation

Main Use Cases

bull End-to-end self-service data preparation

bull Improve data quality to achieve data excellence

bull Create new data sets based for scenario and project requirements

Capabilities

bull Access a dataset to prepare the data based on a sample dataset

bull Transform shape harmonize curate enrich the data by a simple click

Profile assess transform shape and enrich the data

View present and report the outcome immediately

Self-service and data-driven data preparation for business users

delete combinenew or adjusted

data set


Metadata amp Data ExcellenceExtraction of metadata lineage starting with SAP sources

Providing metadata lineage view of datasets Main Use Cases

bull Show sources and transformation of datasets

graphically from target

bull Connect lineage in data discovery

Capabilities

SAP BW Info Providers BW transformations and BW

Queries

SAP HANA SQL views Column views Hierarchies

Synonyms

SAP VORA Views and Datasource tables

Data Pipeline operators

o Storage operators

o HANA amp VORA operators

o Flowagent operators

o SQL statements in HANAVORA operators (27)

o New File operators (27)


Metadata amp Data ExcellenceValidation rules and functions to monitor the trend of data quality in various sources

Main Use Cases

bull Define Data Quality (DQ) thresholds and monitor using

scorecards for key DQ KPI

bull Reuse rules binding them to data from various sources

bull Parameters for dynamic validation rules

Capabilities

Tied with the connectivity and discovery from Metadata explorer

Rules Dashboards for metrics and monitoring

ANDOR condition builder for complex conditions

Roadmap to tie in with data preparations

Pipeline operators extend to streaming and IoT data as well

Validation rules to monitor data quality trends and scorecards


Metadata amp Data ExcellenceExtend anonymization capabilities included in pipeline development model

Get better insights on privacy related data by using high level anonymization operator

Main Use Cases

bull Build pipelines with the anonymization operators

bull Gain statistically valid insights from your data while protecting

the privacy of individuals with anonymization

Capabilities

Basic and high level anonymization in one operator

Create a k-anonymization group and run i-diversity to ensure

additional anonymity

Details to k-anonymization and i-diversity


Metadata amp Data ExcellenceCollaboration features with ratings and comments

Ratings and comments to enable collaborations

Main Use Cases

bull Allow collaborations among various personas

with insights as ratings and comments on the

datasets

bull Reuse knowledges on the datasets for new users

Capabilities

Connect profiling to publish rating of the dataset

in Metadata explorer

A simple way to add comments to enable

business context



Data Science Process in SAP Data Intelligence

Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training

Automation amp Maintenance

Integration into Application

Model Deployment


Automate low value tasks

Manage everything at once

Model performance and lifecycle can bemanaged

so IT and Data Scientists can focus on the tasks

that matter

One single interface to see and orchestrate all

data-driven applications and data flows across

the organization with tools to help manage

governance auditability and transparency

SAP Data IntelligenceMachine Learning Scenario Manager

Parameterize the underlying pipelines used for

training and inference to gain flexibility in the

deployment phase

Configure the underlying data pipelines


SAP Data IntelligenceJuypterLab environment

Interactive development environment for working

with notebooks code and data Use text editors

terminals data file viewers and other custom

components side by side with notebooks in a

tabbed work area

Leverage the experimental phase

Integrate the experimental phase

Harness the usage of Jupyter notebooks in data-

driven applications by benefitting from the

seamless integration of the JupyterLab

environment and the Pipeline Modeler application

Demo


2020 ndash Product direction1Recent innovations 2019 ndash Planned innovations1 2021 ndash Product vision1

1 This is the current state of planning and may be changed by SAP at any time without notice

SAP Data Intelligence 1911 Product road map overview ndash Key innovations

ML amp Data Science Tooling

bull End-2-end data delivery to ML model creation

training consumption including holistic lifecycle

bull Jupyter Notebook integration out of the box

Data Pipelining

bull Data transfer SAP BW4 amp SAP HANA

bull Predefined anonymization data masking amp

data quality operations

bull SQL processing of streaming data

Metadata Governance

bull Embedded data preparation capabilities

bull Business rules including Data Quality KPIs

bull Visual data lineage for catalog objects

Application Integration and Content

bull Replication of SAP S4HANA data

bull Unified API for integration with SAP cloud

solutions (eg Fieldglass Concur)

bull Integration with SAP CP-CPI

Deployment

bull Offered as service in SAP Cloud Platform

with consumption-based pricing

bull Including all SAP Data Hub functionalities


bull Auto ML on structured data amp texts

bull Embedding SAP Machine Learning

Foundation Services (eg OCR translation)

bull Versioning amp management of data sets

bull Integration of Jupyter Notebook with

Connection Management etc

Metadata Governance

bull Hierarchical tagging mechanism

bull Local file Uploads into Data Catalog

bull Enhancement of Rules (data types operations)

Data Pipelining

bull Templates to speed up pipeline modeling

bull Content marketplace scenarios for SAP

S4HANA SAP C4HANA as well as IoT

bull Delta data transfer for SAP BW (via ODP)

bull Replication for SAP S4HANA and ECC

Deployment amp Connectivity

bull On-premise deployment incl core ML services

bull Availability on Azure and Alicloud

bull Connectivity to on-premise Data Center

bull Security enhancements amp fine grained policies

bull Management of API endpoints


bull Automated labeling amp annotations of data assets

bull Enhanced multi-tenancy capabilities including

metering

bull Operations Dashboard to monitor productive

execution

Metadata Governance

bull Information policy management compliance

dashboard

bull Terms amp Glossary with an integration to

SAP Information Steward

bull Self-learning metadata management

bull Semantical data extraction for SAP systems

(eg SAP S4HANA SAP ECC)

Data Pipelining

bull Suggest complementary dataset to the ones

currently considered by users

bull Proactive tuning and self-correcting


bull Expand native connectivity driven by market

bull Provide templates amp pre-definedextendable

content for on-premise and cloud Industry

models and applications

bull Predefined partner content delivery

Enable the intelligent enterprise

bull Enable data-driven and completely automated

intelligent enterprise applications

bull Support new application paradigms

bull Enabling a simple holistic data management view

Evolution of enterprise information management

bull Unify existing capabilities

bull Simplify data integration portfolio

bull Comprehensive landscape management

End-to-end business application and processes

bull Delivery of applications for business scenarios and

industry use cases


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More information

Related SAP TechEd Learning Journeys Next-Gen Data Management and Artificial Intelligence

DAT1 Scale Artificial Intelligence

DAT3 Tame data challenges

Related SAP TechEd sessions

DAT364 ndash Use SAP Data Intelligence to Develop Data-Driven Scenarios from Scratch ndash Hands-on Session

DAT376 ndash Working with Jupyter Notebooks in SAP Data Intelligence ndash Hands-on Session

DAT163 ndash SAP Data Intelligence Sample Scenarios for Image and Text Classification ndash Hands-on Session

DAT361 - Integrating SAP S4HANA into SAP Data Hub Deep Dive and Hands On ndash Hands-on Session

MU97872 ndash Using SAP Data Intelligence to Make Your Enterprise More Intelligent ndash Meet Up Session

DAT300 ndash How to Build an Intelligent Application with SAP Data Intelligence ndash Lecture

DAT100 ndash Industry Use Cases for SAP Data Intelligence ndash Lecture

Public SAP Web sites

SAP Community

httpsblogssaphanacomtagDataIntelligence

httpsblogssapcoms=data+intelligence

httpsblogssapcomtags73555000100800000791

Product Website wwwsapcomdataintelligence

Feedback Contact for further topic inquiries

Please complete your session evaluation

for DAT302

Marc HartzProduct Management LeadMarchartzsapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

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The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

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See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us


Las VegasSeptember 24ndash27 2019

Marc Hartz

BarcelonaOctober 8-10 2019

Marc Hartz

BangaloreNovember 13-15 2019

Lalitendu Samantray

Speakers



















negligence




Disclaimer



Capability Overview





Agenda

Introduction




Enterprise Apps

ERP CRM HR

BI and

Visualization

Artificial


Management







applications






processing

Business

IT







processes


which data sources


daily business




















Access amp


discover data

Prepare amp

manage data

Build scalable

amp flexible data

processes


intelligent

scenarios

Monitor amp

orchestrate

the lifecycle



External

Connections


SAP HANA

On-premise systems

SAP S4HANA

3rd Party Databases

SAP BW4HANA



Jupyter Lab

Data Governance

Metadata

Management

Data

Preparation

amp Labeling

Access

Governance


Pipeline

ModelingData

WorkflowsAPI Access

ML Operations

CockpitML Scenario

Manager

Pipelines

SAP

ConnectorsABAP


Streaming

Cloud Data

Integration

ML

Operators

Custom

Code


Processing Runtime

Tenant

Management

Monitoring amp

Logging

System Management

Content

LifecycleRepository

Internal

HANAQueryable

Data LakeWarm Data

Cache


Deployment Options


installations

Public cloud










Data Systems


SAP HANA

Integration

Cloud Data

Integration

ABAP

Integration

WorkflowsBW Process

Chains

Data Services

JobsHANA

Flowgraphs

hellip

SAP


BW

Integration

SAC Push API

SAP BWSAP BW4 HANA

SAP Analytics Cloud


Standard


protocols)

Cloud Storages

Hadoop HDFS

Databases


Streaming (eg IoT)

Public Clouds

SCI for process

integration

SAP Open

Connectors

SAP API

Business Hub

REST APIs

SAP Cloud

Platform

Connectors

3rd Party

Connectors


Serve


preprocessing


Validation





Data Governance



Extensible

Standard operators


Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage


Observe

Re-Usability


Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis


Connectivity






- HDFS

- Amazon S3




- WebHDFS

SAP Vora

Spark Hadoop- Spark

- Spark SQL

- PySpark

- Hive

hellip











Capabilities



SAP Data Hub


SAP Business Suite









Typical Scenarios












SAP Data Hub

Celonis

Intelligent

Business

Cloud

1 32

Data UploadData

Ingestion

Triggers the

Pipeline and

provides SQL

SELECT for

HANA

Creates Push Job

in IBC for given


and produces data

output in batches

Pushes the data

chunk by chunk to

the created data

push job and

submits the data


Stops the pipeline

once the last chunk

was pushed


personal data

Data Pipeline






Benefits










data models





metadata



Discovery and


Impact


suggestions

Biz rules

policies

security

Metadata catalog



object stores EDWs

WSAPIs Hadoop noSQL



Connected Sources




Hive APIshellip)


workflows

Open

APIs

VisionSAP Data Hub




Capabilities







2731192







Main Use Cases




Capabilities







data set







Capabilities


Queries


Synonyms



o Storage operators







Main Use Cases





Capabilities










Main Use Cases




Capabilities








Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us



















negligence




Disclaimer



Capability Overview





Agenda

Introduction




Enterprise Apps

ERP CRM HR

BI and

Visualization

Artificial


Management







applications






processing

Business

IT







processes


which data sources


daily business




















Access amp


discover data

Prepare amp

manage data

Build scalable

amp flexible data

processes


intelligent

scenarios

Monitor amp

orchestrate

the lifecycle



External

Connections


SAP HANA

On-premise systems

SAP S4HANA

3rd Party Databases

SAP BW4HANA



Jupyter Lab

Data Governance

Metadata

Management

Data

Preparation

amp Labeling

Access

Governance


Pipeline

ModelingData

WorkflowsAPI Access

ML Operations

CockpitML Scenario

Manager

Pipelines

SAP

ConnectorsABAP


Streaming

Cloud Data

Integration

ML

Operators

Custom

Code


Processing Runtime

Tenant

Management

Monitoring amp

Logging

System Management

Content

LifecycleRepository

Internal

HANAQueryable

Data LakeWarm Data

Cache


Deployment Options


installations

Public cloud










Data Systems


SAP HANA

Integration

Cloud Data

Integration

ABAP

Integration

WorkflowsBW Process

Chains

Data Services

JobsHANA

Flowgraphs

hellip

SAP


BW

Integration

SAC Push API

SAP BWSAP BW4 HANA

SAP Analytics Cloud


Standard


protocols)

Cloud Storages

Hadoop HDFS

Databases


Streaming (eg IoT)

Public Clouds

SCI for process

integration

SAP Open

Connectors

SAP API

Business Hub

REST APIs

SAP Cloud

Platform

Connectors

3rd Party

Connectors


Serve


preprocessing


Validation





Data Governance



Extensible

Standard operators


Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage


Observe

Re-Usability


Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis


Connectivity






- HDFS

- Amazon S3




- WebHDFS

SAP Vora

Spark Hadoop- Spark

- Spark SQL

- PySpark

- Hive

hellip











Capabilities



SAP Data Hub


SAP Business Suite









Typical Scenarios












SAP Data Hub

Celonis

Intelligent

Business

Cloud

1 32

Data UploadData

Ingestion

Triggers the

Pipeline and

provides SQL

SELECT for

HANA

Creates Push Job

in IBC for given


and produces data

output in batches

Pushes the data

chunk by chunk to

the created data

push job and

submits the data


Stops the pipeline

once the last chunk

was pushed


personal data

Data Pipeline






Benefits










data models





metadata



Discovery and


Impact


suggestions

Biz rules

policies

security

Metadata catalog



object stores EDWs

WSAPIs Hadoop noSQL



Connected Sources




Hive APIshellip)


workflows

Open

APIs

VisionSAP Data Hub




Capabilities







2731192







Main Use Cases




Capabilities







data set







Capabilities


Queries


Synonyms



o Storage operators







Main Use Cases





Capabilities










Main Use Cases




Capabilities








Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us



Capability Overview





Agenda

Introduction




Enterprise Apps

ERP CRM HR

BI and

Visualization

Artificial


Management







applications






processing

Business

IT







processes


which data sources


daily business




















Access amp


discover data

Prepare amp

manage data

Build scalable

amp flexible data

processes


intelligent

scenarios

Monitor amp

orchestrate

the lifecycle



External

Connections


SAP HANA

On-premise systems

SAP S4HANA

3rd Party Databases

SAP BW4HANA



Jupyter Lab

Data Governance

Metadata

Management

Data

Preparation

amp Labeling

Access

Governance


Pipeline

ModelingData

WorkflowsAPI Access

ML Operations

CockpitML Scenario

Manager

Pipelines

SAP

ConnectorsABAP


Streaming

Cloud Data

Integration

ML

Operators

Custom

Code


Processing Runtime

Tenant

Management

Monitoring amp

Logging

System Management

Content

LifecycleRepository

Internal

HANAQueryable

Data LakeWarm Data

Cache


Deployment Options


installations

Public cloud










Data Systems


SAP HANA

Integration

Cloud Data

Integration

ABAP

Integration

WorkflowsBW Process

Chains

Data Services

JobsHANA

Flowgraphs

hellip

SAP


BW

Integration

SAC Push API

SAP BWSAP BW4 HANA

SAP Analytics Cloud


Standard


protocols)

Cloud Storages

Hadoop HDFS

Databases


Streaming (eg IoT)

Public Clouds

SCI for process

integration

SAP Open

Connectors

SAP API

Business Hub

REST APIs

SAP Cloud

Platform

Connectors

3rd Party

Connectors


Serve


preprocessing


Validation





Data Governance



Extensible

Standard operators


Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage


Observe

Re-Usability


Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis


Connectivity






- HDFS

- Amazon S3




- WebHDFS

SAP Vora

Spark Hadoop- Spark

- Spark SQL

- PySpark

- Hive

hellip











Capabilities



SAP Data Hub


SAP Business Suite









Typical Scenarios












SAP Data Hub

Celonis

Intelligent

Business

Cloud

1 32

Data UploadData

Ingestion

Triggers the

Pipeline and

provides SQL

SELECT for

HANA

Creates Push Job

in IBC for given


and produces data

output in batches

Pushes the data

chunk by chunk to

the created data

push job and

submits the data


Stops the pipeline

once the last chunk

was pushed


personal data

Data Pipeline






Benefits










data models





metadata



Discovery and


Impact


suggestions

Biz rules

policies

security

Metadata catalog



object stores EDWs

WSAPIs Hadoop noSQL



Connected Sources




Hive APIshellip)


workflows

Open

APIs

VisionSAP Data Hub




Capabilities







2731192







Main Use Cases




Capabilities







data set







Capabilities


Queries


Synonyms



o Storage operators







Main Use Cases





Capabilities










Main Use Cases




Capabilities








Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us

Introduction




Enterprise Apps

ERP CRM HR

BI and

Visualization

Artificial


Management







applications






processing

Business

IT







processes


which data sources


daily business




















Access amp


discover data

Prepare amp

manage data

Build scalable

amp flexible data

processes


intelligent

scenarios

Monitor amp

orchestrate

the lifecycle



External

Connections


SAP HANA

On-premise systems

SAP S4HANA

3rd Party Databases

SAP BW4HANA



Jupyter Lab

Data Governance

Metadata

Management

Data

Preparation

amp Labeling

Access

Governance


Pipeline

ModelingData

WorkflowsAPI Access

ML Operations

CockpitML Scenario

Manager

Pipelines

SAP

ConnectorsABAP


Streaming

Cloud Data

Integration

ML

Operators

Custom

Code


Processing Runtime

Tenant

Management

Monitoring amp

Logging

System Management

Content

LifecycleRepository

Internal

HANAQueryable

Data LakeWarm Data

Cache


Deployment Options


installations

Public cloud










Data Systems


SAP HANA

Integration

Cloud Data

Integration

ABAP

Integration

WorkflowsBW Process

Chains

Data Services

JobsHANA

Flowgraphs

hellip

SAP


BW

Integration

SAC Push API

SAP BWSAP BW4 HANA

SAP Analytics Cloud


Standard


protocols)

Cloud Storages

Hadoop HDFS

Databases


Streaming (eg IoT)

Public Clouds

SCI for process

integration

SAP Open

Connectors

SAP API

Business Hub

REST APIs

SAP Cloud

Platform

Connectors

3rd Party

Connectors


Serve


preprocessing


Validation





Data Governance



Extensible

Standard operators


Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage


Observe

Re-Usability


Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis


Connectivity






- HDFS

- Amazon S3




- WebHDFS

SAP Vora

Spark Hadoop- Spark

- Spark SQL

- PySpark

- Hive

hellip











Capabilities



SAP Data Hub


SAP Business Suite









Typical Scenarios












SAP Data Hub

Celonis

Intelligent

Business

Cloud

1 32

Data UploadData

Ingestion

Triggers the

Pipeline and

provides SQL

SELECT for

HANA

Creates Push Job

in IBC for given


and produces data

output in batches

Pushes the data

chunk by chunk to

the created data

push job and

submits the data


Stops the pipeline

once the last chunk

was pushed


personal data

Data Pipeline






Benefits










data models





metadata



Discovery and


Impact


suggestions

Biz rules

policies

security

Metadata catalog



object stores EDWs

WSAPIs Hadoop noSQL



Connected Sources




Hive APIshellip)


workflows

Open

APIs

VisionSAP Data Hub




Capabilities







2731192







Main Use Cases




Capabilities







data set







Capabilities


Queries


Synonyms



o Storage operators







Main Use Cases





Capabilities










Main Use Cases




Capabilities








Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us




Enterprise Apps

ERP CRM HR

BI and

Visualization

Artificial


Management







applications






processing

Business

IT







processes


which data sources


daily business




















Access amp


discover data

Prepare amp

manage data

Build scalable

amp flexible data

processes


intelligent

scenarios

Monitor amp

orchestrate

the lifecycle



External

Connections


SAP HANA

On-premise systems

SAP S4HANA

3rd Party Databases

SAP BW4HANA



Jupyter Lab

Data Governance

Metadata

Management

Data

Preparation

amp Labeling

Access

Governance


Pipeline

ModelingData

WorkflowsAPI Access

ML Operations

CockpitML Scenario

Manager

Pipelines

SAP

ConnectorsABAP


Streaming

Cloud Data

Integration

ML

Operators

Custom

Code


Processing Runtime

Tenant

Management

Monitoring amp

Logging

System Management

Content

LifecycleRepository

Internal

HANAQueryable

Data LakeWarm Data

Cache


Deployment Options


installations

Public cloud










Data Systems


SAP HANA

Integration

Cloud Data

Integration

ABAP

Integration

WorkflowsBW Process

Chains

Data Services

JobsHANA

Flowgraphs

hellip

SAP


BW

Integration

SAC Push API

SAP BWSAP BW4 HANA

SAP Analytics Cloud


Standard


protocols)

Cloud Storages

Hadoop HDFS

Databases


Streaming (eg IoT)

Public Clouds

SCI for process

integration

SAP Open

Connectors

SAP API

Business Hub

REST APIs

SAP Cloud

Platform

Connectors

3rd Party

Connectors


Serve


preprocessing


Validation





Data Governance



Extensible

Standard operators


Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage


Observe

Re-Usability


Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis


Connectivity






- HDFS

- Amazon S3




- WebHDFS

SAP Vora

Spark Hadoop- Spark

- Spark SQL

- PySpark

- Hive

hellip











Capabilities



SAP Data Hub


SAP Business Suite









Typical Scenarios












SAP Data Hub

Celonis

Intelligent

Business

Cloud

1 32

Data UploadData

Ingestion

Triggers the

Pipeline and

provides SQL

SELECT for

HANA

Creates Push Job

in IBC for given


and produces data

output in batches

Pushes the data

chunk by chunk to

the created data

push job and

submits the data


Stops the pipeline

once the last chunk

was pushed


personal data

Data Pipeline






Benefits










data models





metadata



Discovery and


Impact


suggestions

Biz rules

policies

security

Metadata catalog



object stores EDWs

WSAPIs Hadoop noSQL



Connected Sources




Hive APIshellip)


workflows

Open

APIs

VisionSAP Data Hub




Capabilities







2731192







Main Use Cases




Capabilities







data set







Capabilities


Queries


Synonyms



o Storage operators







Main Use Cases





Capabilities










Main Use Cases




Capabilities








Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us







processes


which data sources


daily business




















Access amp


discover data

Prepare amp

manage data

Build scalable

amp flexible data

processes


intelligent

scenarios

Monitor amp

orchestrate

the lifecycle



External

Connections


SAP HANA

On-premise systems

SAP S4HANA

3rd Party Databases

SAP BW4HANA



Jupyter Lab

Data Governance

Metadata

Management

Data

Preparation

amp Labeling

Access

Governance


Pipeline

ModelingData

WorkflowsAPI Access

ML Operations

CockpitML Scenario

Manager

Pipelines

SAP

ConnectorsABAP


Streaming

Cloud Data

Integration

ML

Operators

Custom

Code


Processing Runtime

Tenant

Management

Monitoring amp

Logging

System Management

Content

LifecycleRepository

Internal

HANAQueryable

Data LakeWarm Data

Cache


Deployment Options


installations

Public cloud










Data Systems


SAP HANA

Integration

Cloud Data

Integration

ABAP

Integration

WorkflowsBW Process

Chains

Data Services

JobsHANA

Flowgraphs

hellip

SAP


BW

Integration

SAC Push API

SAP BWSAP BW4 HANA

SAP Analytics Cloud


Standard


protocols)

Cloud Storages

Hadoop HDFS

Databases


Streaming (eg IoT)

Public Clouds

SCI for process

integration

SAP Open

Connectors

SAP API

Business Hub

REST APIs

SAP Cloud

Platform

Connectors

3rd Party

Connectors


Serve


preprocessing


Validation





Data Governance



Extensible

Standard operators


Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage


Observe

Re-Usability


Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis


Connectivity






- HDFS

- Amazon S3




- WebHDFS

SAP Vora

Spark Hadoop- Spark

- Spark SQL

- PySpark

- Hive

hellip











Capabilities



SAP Data Hub


SAP Business Suite









Typical Scenarios












SAP Data Hub

Celonis

Intelligent

Business

Cloud

1 32

Data UploadData

Ingestion

Triggers the

Pipeline and

provides SQL

SELECT for

HANA

Creates Push Job

in IBC for given


and produces data

output in batches

Pushes the data

chunk by chunk to

the created data

push job and

submits the data


Stops the pipeline

once the last chunk

was pushed


personal data

Data Pipeline






Benefits










data models





metadata



Discovery and


Impact


suggestions

Biz rules

policies

security

Metadata catalog



object stores EDWs

WSAPIs Hadoop noSQL



Connected Sources




Hive APIshellip)


workflows

Open

APIs

VisionSAP Data Hub




Capabilities







2731192







Main Use Cases




Capabilities







data set







Capabilities


Queries


Synonyms



o Storage operators







Main Use Cases





Capabilities










Main Use Cases




Capabilities








Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us














Access amp


discover data

Prepare amp

manage data

Build scalable

amp flexible data

processes


intelligent

scenarios

Monitor amp

orchestrate

the lifecycle



External

Connections


SAP HANA

On-premise systems

SAP S4HANA

3rd Party Databases

SAP BW4HANA



Jupyter Lab

Data Governance

Metadata

Management

Data

Preparation

amp Labeling

Access

Governance


Pipeline

ModelingData

WorkflowsAPI Access

ML Operations

CockpitML Scenario

Manager

Pipelines

SAP

ConnectorsABAP


Streaming

Cloud Data

Integration

ML

Operators

Custom

Code


Processing Runtime

Tenant

Management

Monitoring amp

Logging

System Management

Content

LifecycleRepository

Internal

HANAQueryable

Data LakeWarm Data

Cache


Deployment Options


installations

Public cloud










Data Systems


SAP HANA

Integration

Cloud Data

Integration

ABAP

Integration

WorkflowsBW Process

Chains

Data Services

JobsHANA

Flowgraphs

hellip

SAP


BW

Integration

SAC Push API

SAP BWSAP BW4 HANA

SAP Analytics Cloud


Standard


protocols)

Cloud Storages

Hadoop HDFS

Databases


Streaming (eg IoT)

Public Clouds

SCI for process

integration

SAP Open

Connectors

SAP API

Business Hub

REST APIs

SAP Cloud

Platform

Connectors

3rd Party

Connectors


Serve


preprocessing


Validation





Data Governance



Extensible

Standard operators


Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage


Observe

Re-Usability


Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis


Connectivity






- HDFS

- Amazon S3




- WebHDFS

SAP Vora

Spark Hadoop- Spark

- Spark SQL

- PySpark

- Hive

hellip











Capabilities



SAP Data Hub


SAP Business Suite









Typical Scenarios












SAP Data Hub

Celonis

Intelligent

Business

Cloud

1 32

Data UploadData

Ingestion

Triggers the

Pipeline and

provides SQL

SELECT for

HANA

Creates Push Job

in IBC for given


and produces data

output in batches

Pushes the data

chunk by chunk to

the created data

push job and

submits the data


Stops the pipeline

once the last chunk

was pushed


personal data

Data Pipeline






Benefits










data models





metadata



Discovery and


Impact


suggestions

Biz rules

policies

security

Metadata catalog



object stores EDWs

WSAPIs Hadoop noSQL



Connected Sources




Hive APIshellip)


workflows

Open

APIs

VisionSAP Data Hub




Capabilities







2731192







Main Use Cases




Capabilities







data set







Capabilities


Queries


Synonyms



o Storage operators







Main Use Cases





Capabilities










Main Use Cases




Capabilities








Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us



External

Connections


SAP HANA

On-premise systems

SAP S4HANA

3rd Party Databases

SAP BW4HANA



Jupyter Lab

Data Governance

Metadata

Management

Data

Preparation

amp Labeling

Access

Governance


Pipeline

ModelingData

WorkflowsAPI Access

ML Operations

CockpitML Scenario

Manager

Pipelines

SAP

ConnectorsABAP


Streaming

Cloud Data

Integration

ML

Operators

Custom

Code


Processing Runtime

Tenant

Management

Monitoring amp

Logging

System Management

Content

LifecycleRepository

Internal

HANAQueryable

Data LakeWarm Data

Cache


Deployment Options


installations

Public cloud










Data Systems


SAP HANA

Integration

Cloud Data

Integration

ABAP

Integration

WorkflowsBW Process

Chains

Data Services

JobsHANA

Flowgraphs

hellip

SAP


BW

Integration

SAC Push API

SAP BWSAP BW4 HANA

SAP Analytics Cloud


Standard


protocols)

Cloud Storages

Hadoop HDFS

Databases


Streaming (eg IoT)

Public Clouds

SCI for process

integration

SAP Open

Connectors

SAP API

Business Hub

REST APIs

SAP Cloud

Platform

Connectors

3rd Party

Connectors


Serve


preprocessing


Validation





Data Governance



Extensible

Standard operators


Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage


Observe

Re-Usability


Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis


Connectivity






- HDFS

- Amazon S3




- WebHDFS

SAP Vora

Spark Hadoop- Spark

- Spark SQL

- PySpark

- Hive

hellip











Capabilities



SAP Data Hub


SAP Business Suite









Typical Scenarios












SAP Data Hub

Celonis

Intelligent

Business

Cloud

1 32

Data UploadData

Ingestion

Triggers the

Pipeline and

provides SQL

SELECT for

HANA

Creates Push Job

in IBC for given


and produces data

output in batches

Pushes the data

chunk by chunk to

the created data

push job and

submits the data


Stops the pipeline

once the last chunk

was pushed


personal data

Data Pipeline






Benefits










data models





metadata



Discovery and


Impact


suggestions

Biz rules

policies

security

Metadata catalog



object stores EDWs

WSAPIs Hadoop noSQL



Connected Sources




Hive APIshellip)


workflows

Open

APIs

VisionSAP Data Hub




Capabilities







2731192







Main Use Cases




Capabilities







data set







Capabilities


Queries


Synonyms



o Storage operators







Main Use Cases





Capabilities










Main Use Cases




Capabilities








Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us


Deployment Options


installations

Public cloud










Data Systems


SAP HANA

Integration

Cloud Data

Integration

ABAP

Integration

WorkflowsBW Process

Chains

Data Services

JobsHANA

Flowgraphs

hellip

SAP


BW

Integration

SAC Push API

SAP BWSAP BW4 HANA

SAP Analytics Cloud


Standard


protocols)

Cloud Storages

Hadoop HDFS

Databases


Streaming (eg IoT)

Public Clouds

SCI for process

integration

SAP Open

Connectors

SAP API

Business Hub

REST APIs

SAP Cloud

Platform

Connectors

3rd Party

Connectors


Serve


preprocessing


Validation





Data Governance



Extensible

Standard operators


Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage


Observe

Re-Usability


Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis


Connectivity






- HDFS

- Amazon S3




- WebHDFS

SAP Vora

Spark Hadoop- Spark

- Spark SQL

- PySpark

- Hive

hellip











Capabilities



SAP Data Hub


SAP Business Suite









Typical Scenarios












SAP Data Hub

Celonis

Intelligent

Business

Cloud

1 32

Data UploadData

Ingestion

Triggers the

Pipeline and

provides SQL

SELECT for

HANA

Creates Push Job

in IBC for given


and produces data

output in batches

Pushes the data

chunk by chunk to

the created data

push job and

submits the data


Stops the pipeline

once the last chunk

was pushed


personal data

Data Pipeline






Benefits










data models





metadata



Discovery and


Impact


suggestions

Biz rules

policies

security

Metadata catalog



object stores EDWs

WSAPIs Hadoop noSQL



Connected Sources




Hive APIshellip)


workflows

Open

APIs

VisionSAP Data Hub




Capabilities







2731192







Main Use Cases




Capabilities







data set







Capabilities


Queries


Synonyms



o Storage operators







Main Use Cases





Capabilities










Main Use Cases




Capabilities








Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us






Data Systems


SAP HANA

Integration

Cloud Data

Integration

ABAP

Integration

WorkflowsBW Process

Chains

Data Services

JobsHANA

Flowgraphs

hellip

SAP


BW

Integration

SAC Push API

SAP BWSAP BW4 HANA

SAP Analytics Cloud


Standard


protocols)

Cloud Storages

Hadoop HDFS

Databases


Streaming (eg IoT)

Public Clouds

SCI for process

integration

SAP Open

Connectors

SAP API

Business Hub

REST APIs

SAP Cloud

Platform

Connectors

3rd Party

Connectors


Serve


preprocessing


Validation





Data Governance



Extensible

Standard operators


Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage


Observe

Re-Usability


Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis


Connectivity






- HDFS

- Amazon S3




- WebHDFS

SAP Vora

Spark Hadoop- Spark

- Spark SQL

- PySpark

- Hive

hellip











Capabilities



SAP Data Hub


SAP Business Suite









Typical Scenarios












SAP Data Hub

Celonis

Intelligent

Business

Cloud

1 32

Data UploadData

Ingestion

Triggers the

Pipeline and

provides SQL

SELECT for

HANA

Creates Push Job

in IBC for given


and produces data

output in batches

Pushes the data

chunk by chunk to

the created data

push job and

submits the data


Stops the pipeline

once the last chunk

was pushed


personal data

Data Pipeline






Benefits










data models





metadata



Discovery and


Impact


suggestions

Biz rules

policies

security

Metadata catalog



object stores EDWs

WSAPIs Hadoop noSQL



Connected Sources




Hive APIshellip)


workflows

Open

APIs

VisionSAP Data Hub




Capabilities







2731192







Main Use Cases




Capabilities







data set







Capabilities


Queries


Synonyms



o Storage operators







Main Use Cases





Capabilities










Main Use Cases




Capabilities








Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us


Extensible

Standard operators


Wrap custom code

Scalable

Distributed

Containerized

Production-Ready

Manage


Observe

Re-Usability


Read the

product reviews

from HDFS

Load the

sentiment

analysis results

in SAP Vora

Parse the file

and perform

sentiment

analysis


Connectivity






- HDFS

- Amazon S3




- WebHDFS

SAP Vora

Spark Hadoop- Spark

- Spark SQL

- PySpark

- Hive

hellip











Capabilities



SAP Data Hub


SAP Business Suite









Typical Scenarios












SAP Data Hub

Celonis

Intelligent

Business

Cloud

1 32

Data UploadData

Ingestion

Triggers the

Pipeline and

provides SQL

SELECT for

HANA

Creates Push Job

in IBC for given


and produces data

output in batches

Pushes the data

chunk by chunk to

the created data

push job and

submits the data


Stops the pipeline

once the last chunk

was pushed


personal data

Data Pipeline






Benefits










data models





metadata



Discovery and


Impact


suggestions

Biz rules

policies

security

Metadata catalog



object stores EDWs

WSAPIs Hadoop noSQL



Connected Sources




Hive APIshellip)


workflows

Open

APIs

VisionSAP Data Hub




Capabilities







2731192







Main Use Cases




Capabilities







data set







Capabilities


Queries


Synonyms



o Storage operators







Main Use Cases





Capabilities










Main Use Cases




Capabilities








Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us


Connectivity






- HDFS

- Amazon S3




- WebHDFS

SAP Vora

Spark Hadoop- Spark

- Spark SQL

- PySpark

- Hive

hellip











Capabilities



SAP Data Hub


SAP Business Suite









Typical Scenarios












SAP Data Hub

Celonis

Intelligent

Business

Cloud

1 32

Data UploadData

Ingestion

Triggers the

Pipeline and

provides SQL

SELECT for

HANA

Creates Push Job

in IBC for given


and produces data

output in batches

Pushes the data

chunk by chunk to

the created data

push job and

submits the data


Stops the pipeline

once the last chunk

was pushed


personal data

Data Pipeline






Benefits










data models





metadata



Discovery and


Impact


suggestions

Biz rules

policies

security

Metadata catalog



object stores EDWs

WSAPIs Hadoop noSQL



Connected Sources




Hive APIshellip)


workflows

Open

APIs

VisionSAP Data Hub




Capabilities







2731192







Main Use Cases




Capabilities







data set







Capabilities


Queries


Synonyms



o Storage operators







Main Use Cases





Capabilities










Main Use Cases




Capabilities








Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us











Capabilities



SAP Data Hub


SAP Business Suite









Typical Scenarios












SAP Data Hub

Celonis

Intelligent

Business

Cloud

1 32

Data UploadData

Ingestion

Triggers the

Pipeline and

provides SQL

SELECT for

HANA

Creates Push Job

in IBC for given


and produces data

output in batches

Pushes the data

chunk by chunk to

the created data

push job and

submits the data


Stops the pipeline

once the last chunk

was pushed


personal data

Data Pipeline






Benefits










data models





metadata



Discovery and


Impact


suggestions

Biz rules

policies

security

Metadata catalog



object stores EDWs

WSAPIs Hadoop noSQL



Connected Sources




Hive APIshellip)


workflows

Open

APIs

VisionSAP Data Hub




Capabilities







2731192







Main Use Cases




Capabilities







data set







Capabilities


Queries


Synonyms



o Storage operators







Main Use Cases





Capabilities










Main Use Cases




Capabilities








Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us









Typical Scenarios












SAP Data Hub

Celonis

Intelligent

Business

Cloud

1 32

Data UploadData

Ingestion

Triggers the

Pipeline and

provides SQL

SELECT for

HANA

Creates Push Job

in IBC for given


and produces data

output in batches

Pushes the data

chunk by chunk to

the created data

push job and

submits the data


Stops the pipeline

once the last chunk

was pushed


personal data

Data Pipeline






Benefits










data models





metadata



Discovery and


Impact


suggestions

Biz rules

policies

security

Metadata catalog



object stores EDWs

WSAPIs Hadoop noSQL



Connected Sources




Hive APIshellip)


workflows

Open

APIs

VisionSAP Data Hub




Capabilities







2731192







Main Use Cases




Capabilities







data set







Capabilities


Queries


Synonyms



o Storage operators







Main Use Cases





Capabilities










Main Use Cases




Capabilities








Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us









SAP Data Hub

Celonis

Intelligent

Business

Cloud

1 32

Data UploadData

Ingestion

Triggers the

Pipeline and

provides SQL

SELECT for

HANA

Creates Push Job

in IBC for given


and produces data

output in batches

Pushes the data

chunk by chunk to

the created data

push job and

submits the data


Stops the pipeline

once the last chunk

was pushed


personal data

Data Pipeline






Benefits










data models





metadata



Discovery and


Impact


suggestions

Biz rules

policies

security

Metadata catalog



object stores EDWs

WSAPIs Hadoop noSQL



Connected Sources




Hive APIshellip)


workflows

Open

APIs

VisionSAP Data Hub




Capabilities







2731192







Main Use Cases




Capabilities







data set







Capabilities


Queries


Synonyms



o Storage operators







Main Use Cases





Capabilities










Main Use Cases




Capabilities








Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us






Benefits










data models





metadata



Discovery and


Impact


suggestions

Biz rules

policies

security

Metadata catalog



object stores EDWs

WSAPIs Hadoop noSQL



Connected Sources




Hive APIshellip)


workflows

Open

APIs

VisionSAP Data Hub




Capabilities







2731192







Main Use Cases




Capabilities







data set







Capabilities


Queries


Synonyms



o Storage operators







Main Use Cases





Capabilities










Main Use Cases




Capabilities








Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us




Capabilities







2731192







Main Use Cases




Capabilities







data set







Capabilities


Queries


Synonyms



o Storage operators







Main Use Cases





Capabilities










Main Use Cases




Capabilities








Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us



Main Use Cases




Capabilities







data set







Capabilities


Queries


Synonyms



o Storage operators







Main Use Cases





Capabilities










Main Use Cases




Capabilities








Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us







Capabilities


Queries


Synonyms



o Storage operators







Main Use Cases





Capabilities










Main Use Cases




Capabilities








Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us



Main Use Cases





Capabilities










Main Use Cases




Capabilities








Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us




Main Use Cases




Capabilities








Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us




Main Use Cases



datasets


Capabilities




business context




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us




Search amp Browse

Data

Connection Storage

Management

Data Preparation

Data Processing

Model

Creation

Model Validation

Model Training



Model Deployment






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us






that matter








deployment phase








tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us







tabbed work area







Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us

Demo









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us









Data Pipelining





Metadata Governance









Deployment











Metadata Governance




Data Pipelining















metering


execution

Metadata Governance


dashboard






Data Pipelining





















industry use cases












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us












Access replays

Keynotes

Live interviews





Ask questions

Join discussions

sapcomcommunity









More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us


More information













SAP Community







for DAT302












warranty













wwwsapcomcontactsap

Follow us



for DAT302












warranty













wwwsapcomcontactsap

Follow us










warranty













wwwsapcomcontactsap

Follow us

Introduction to SAP Data Intelligence and SAP Data Hub

Documents

Transcript of Introduction to SAP Data Intelligence and SAP Data Hub