Insight Platforms Accelerate Digital Transformation

© 2016 MapR Technologies © 2016 MapR Technologies

Insight Platforms Accelerate Digital Transformation

https://docs.google.com/a/maprtech.com/spreadsheets/d/1Np_RS78uIyjZxVneLAAZCS438pZFQFNW3XQNwTISMSg

© 2016 MapR Technologies

Today’s Presenters

Jack Norris

SVP – Data Applications

@Norrisjack

Brian Hopkins

VP, Principal Analyst

@practicingEA

https://twitter.com/Norrisjack

https://twitter.com/Norrisjack

https://twitter.com/practicingEA

https://twitter.com/practicingEA

Insight Platforms Accelerate Digital

Transformation Brian Hopkins, Vice President, Principal Analyst

© 2016 Forrester Research, Inc. Reproduction Prohibited 4

Source: Forrester’s “Big Data Fabrics Drive Innovation And Growth” report

Messy, large datasets are still a problem


Firms are building data science platforms

Web UI – insights on demand

Insights fabric server (Domino Server)

Docker to isolate and manage jobs and code

Python script library becomes their ETL on demand

MongoDB Hadoop SQL Server MySQL

External reporting tools (e.g., Tableau)

Source: ”Transform Your Customer Experience With Systems Of Insight” Forrester report

Data Sources









Data scientists Engineers

Firmware team

Pipe-line Data

Engineers

Insights team manages insights-to execution


Data Sources










Firmware team

Pipe-line Data

Engineers



Change driving

experience

Data Sources

9 © 2016 Forrester Research, Inc. Reproduction Prohibited

The business discipline and

technology to harness insights and

consistently turn data into action

But we call what they do a “system of insight”


A system of insight is an operating model: people, process, & technology working together

Source: April 27, 2015, “Digital Insights Are The New Currency Of Business” Forrester report

All Data Possible

Actions

Digital insights

architecture

Right

data

Effective

actions


A system of insight is an operating model: people, process, & technology working together

Source: April 27, 2015, “Digital Insights Are The New Currency Of Business” Forrester report

All Data Possible

Actions Insights-to-execution

process

Insights team

Digital insights

architecture

Right

data

Effective

actions


Systems of insight should run on a platform built for big data

Source: “Insight Platforms Accelerate Digital Transformation” Forrester report.


Insight platforms unify the

technologies to manage and

analyze data, test and integrate the

derived insights into business

action, and capture feedback for

continuous improvement.

Insight platforms fit that need



Insight platforms have struck a chord with architects

0%10%20%30%40%50%60%70%80%90%

100%

How Firms Are Tracking And Investing In Emerging Technology

Our firm is starting to invest We are researching and selecting

We are tracking how it evolves No interest today


Source: Forrester’s “Vendor Landscape: Insight Platforms, Q3 2016 report

Vendors offer insight platforms already


Source: Insight Platform Vendor Landscape, Q3 2016

Five classes of insights platforms


Insight platforms unify the

technologies to manage and

analyze data, test and integrate the

derived insights into business

action, and capture feedback for

continuous improvement.

Big Data Fabrics provide a foundation for insight platforms



What a big data fabric looks like


Big data fabrics are turning data science tools into insight platforms

• Data exploration and prep

• Collaboration

• Model development, tuning, management

• Model execution

Predictive Analytics

• EDW

• Cloud

• SaaS

• RDBMA

Data Sources


Big data fabrics are turning data science tools into insight platforms

• Data exploration and prep

• Collaboration

• Model development, tuning, management

• Model execution


• Data ingestion

• Data operations

• Data exploration

• Security, governance, metadata

Big Data Fabric

• EDW

• Cloud

• SaaS

• RDBMA

Data Sources


Why is this important? Because your scope is much broader now.


How vendors are approaching big data fabrics F

abrics Converged

Federated

As-a-service

Components run on a converged

infrastructure in an integrated way

Components run on different

infrastructures, connected by

orchestration components

(e.g microservices)

Componentry is abstracted from

functionality which is exposed as a

platform

Simplicity

Organizational

flexibility

Solution

agility


Build towards an information fabric


Big Data Fabric Information Fabric

Data Sources

Customer Analytics

Business Analytics


Connect platforms through your fabric

Source: “Insight Platforms Accelerate Digital

Transformation” Forrester report

Thank you

forrester.com

Brian Hopkins

[email protected]

Twitter: @practicingea

mailto:[email protected]

© 2016 MapR Technologies 27 © 2016 MapR Technologies 27 © 2016 MapR Technologies

The Key to Digital Transformation

Jack Norris, SVP Data & Applications

© 2016 MapR Technologies 28 © 2016 MapR Technologies 28

A Once-in-30-Year Re-Platforming of the Enterprise

• Critical infrastructure for next-gen applications

• Data platform enabler for required Speed, Scale, & Reliability

New Applications Existing Applications

Open Source Analytic Innovations Legacy

Disruptive Data Platform

On Premise Private Cloud Public Cloud

Heterogeneous Hardware


Legacy Business Platforms Are Two Islands

• IT must integrate all the products

• Inability to operationalize the insight rapidly

• Can’t deal with high speed data ingestion and processing

• Scale up architecture leads to high cost

Message

Bus

Specialized Storage

Operational Applications

J2EE

AppServer

Relational

Database

Specialized Storage

Analytical Applications

Analytic Database ETL Tool BI Tool


The Secret is to Bring Analytics & Operations Together

Converged Applications

Complete Access to Real-time and

Historical Data in One Platform

Historical Immediate


$ $

$

© 2016 MapR Technologies 35 © 2016 MapR Technologies 35 MapR Confidential

Data Warehouse Offload: Cost per Terabyte Comparisons

Augmenting legacy

infrastructure can save over

$1.5K or 79% in annual op ex

per TB and slash the cap ex

per TB by $4.8K or 95%

Legacy: Typical net Exadata

pricing with rack, storage

server, and DB bundle

software

Assumes 100% use of available

storage

$0.00

$0.25

$0.50

$0.75

$1.00

$1.25

$1.50

$1.75

$2.00

Legacy MapR

Annual Op Ex per TB ($000)

Hardware HW Maintenance Licenses License Support MapR Technology

$0.00

$0.65

$1.30

$1.95

$2.60

$3.25

$3.90

$4.55

$5.20

Legacy MapR

Cap Ex per TB ($000)


$ $

$


Largest Biometric Database in the World

PEOPLE


Driving Business Value

$19.4 Million

Per interviewed organization, average

discounted benefits over three years


Scale, Speed, Reliability Tradeoffs

• Many different security models

• Unique administration model

• Expensive

• Time consuming with latencies

• Data availability, protection issues

The Growing Complexity of Big Data Environments

Search

server

Hadoop &

Spark

cluster

Cassandra for

event or content

logging

Document

JSON DB

Classic data

warehouse

Message

middlewa

re

Application

server


Complexity vs. Converged Simplicity

Simultaneous Scale,

Speed and Reliability

• Vast scale - Trillions of files

• Self healing resiliency

• Low latency architecture

• Global, cross-datacenter failover

Transformational Apps

Data

Web-Scale Storage MapR-FS MapR-DB

Real Time Unified Security Multi-tenancy Disaster Recovery Global Namespace High Availability

MapR Streams Event Streaming Database

Enterprise Grade Platform


Data Platform Requirements

Integrated Analytics

Enterprise Grade

Scale

Legacy Support

Transformational Applications

Real Time


Comparing Data Platforms

S T O R A G E

D A T A


H A D O O P


D T A

C O M P U T E

D A T A



C O M P U T E

S P A R K



Issues: Enterprise Grade, Legacy Support,


C A S S A N D R A

D T A

C O M P U T E

D A T A



Issues: Enterprise Grade, Legacy Support,


C O M P U T E

D T A D A T A

Write In:

–– –– –– –

O T H E R


C O N V E R G E D D A T A P L A T F O R M


Data in Motion Data at Rest

C O M P U T E

D T A D A T A


Yield Management Optimization Global

Semi-conductor

Company


Managing Risk/Fraud American Express

Fraud protection on $1 trillion

Decisions made in less than 2 milliseconds


Big Data is Generated One Event at a Time

“time” : “6:01.103”,

“event” : “RETWEET”,

“location” :

“lat” : 40.712784,

“lon” : -74.005941

“time: “5:04.120”,

“severity” : “CRITICAL”,

“msg” : “Service down”

“card_num” : 1234,

“merchant” : ”Apple”,

“amount” : 50


Event-based Data Flows

web events etc…

machine sensors

Biometrics

Mobile events


Streams Enable Real-Time Applications

Failure

Alerts Real-time application &

network monitoring

Trending now

Web Personalized

Offers

Real-time Fraud Detection

Ad optimization

Supply Chain Optimization


Streams Enable Event-based Microservices

Clicks Sessions Conversions

Sessionizer Converted?


Microservices Overview

• Microservices is an approach to application

development in which a large application is built

as a suite of modular services.

• Each module supports a specific business goal

and uses a simple, well-defined interface to

communicate with other modules.


Event-Driven Microservices

Microservices combined with Streams

and a Converged Platform provides:

• Application development across file, database,

document and streaming services

• Ultra scale, utility grade performance

• Greater efficiency and simplicity than alternative

architectures

• Integrated data-in-motion and data-at-rest and

continuous and low latency processing


Microservices Architecture

Message Broker

Processing

Platform

Processing

Platform

Streaming Data

Platform


Converged Microservices Architecture

MapR Converged Data Platform

Converged

Message and

Processing

Services


Converged Platform Appeal for Developers: Agility

Flexibility

Agility

Simplicity

Real Time


Appeal for Architects and Administrators

• Simplifies administration

• Avoids cluster sprawl

• Unifies security, data protection, disaster recovery


Existing Environments – Complex Silos

While logically separate

A single platform can be

used to offload and

consolidate data


A P P

D A T A

D A T A

A P P

A P P

A P P

D A T A

Road to Digital Transformation


The Keys to Digital Transformation

1. Data Convergence

2. Stream Processing

3. Application Agility

© 2016 MapR Technologies

Q & A Engage with us!

Forrester Whitepaper: Insight Platforms Accelerating Digital

Transformation http://mapr.com/digital-transformation

eBook: Architects Guide to

Implementing a Digital Transformation https://www.mapr.com/architect-guide-to-digital-transformation

http://mapr.com/digital-transformation




https://www.mapr.com/architect-guide-to-digital-transformation









Insight Platforms Accelerate Digital Transformation

Data & Analytics

Transcript of Insight Platforms Accelerate Digital Transformation