3 CTOs Discuss the Shift to Next-Gen Analytic Ecosystems

The Shift to Next-Gen Analytic Ecosystems

August 19, 2015 webinar

2

President Intelligent Solutions, Inc. Founder Boulder BI Brain Trust

A thought leader, visionary, and practitioner, Claudia Imhoff, Ph.D., is an internationally recognized expert on analytics, business intelligence, and the architectures to support these initiatives. Dr. Imhoff has co-authored five books on these subjects and writes articles (totaling more than 150) for technical and business magazines. She is also the Founder of the Boulder BI Brain Trust, a consortium of internationally-recognized independent analysts and experts. You can follow them on Twitter at #BBBT or become a subscriber at www.bbbt.us.

Email: [email protected] Phone: 303-444-6650 Twitter: Claudia_Imhoff

CI 04

Claudia Imhoff

Introductions

Sanjay Krishnamurthi, CTO, Informatica

DTG

Stephen Brobst, CTO, Teradata

Scott Gnau, CTO, Hortonworks

CI 05

•  The shift to analytic ecosystems

•  Good engineers and requirements •  Data Lake •  Integrated Data Warehouse •  Discovery Platform •  Data integration

•  Lessons for other workloads

Agenda

4

DTG

SB 09

Shift from One Platform à Analytic Ecosystem

DTG

SB 13

SB 17

Math and Stats

Data Mining

Business Intelligence

Applications

Languages

Marketing

ANALYTIC TOOLS & APPS

USERS

UNIFIED DATA ARCHITECTURE

Marketing Executives

Operational Systems

Frontline Workers

Customers Partners

Engineers

Data Scientists

Business Analysts

INTEGRATED DATA WAREHOUSE

DISCOVERY PLATFORM

DATA LAKE

DTG

ERP

SCM

CRM

Images

Audio and Video

Machine Logs

Text

Web and Social

SOURCES

DATA INTEGRATION AND GOVERNANCE

Audience Questions


Claudia Imhoff President

Intelligent Solutions

CI 20

Enabling the Data Lake with Hadoop

8

Hadoop 2.0

An Open Source Data Platform providing a centralized architecture of core enterprise services.

YARN Data Operating System •  A centralized architecture of

consistent enterprise services for resource management, security, operations, and governance.

•  The versatility to support multiple applications and diverse workloads from batch to interactive to real-time, open source and commercial.

SG 24

Data Lake Downstream Services

Raw data Refined data Single subject analysis

SG 28

2855

Tightly Coupled

Loosely Coupled

Non Coupled

SG 32

Audience Questions CI 35




ERP

SCM

CRM

Images

Audio and Video

Machine Logs

Text

Web and Social

SOURCES

12

Profile Parse Cleanse Relate

Batch

Stream

Data Intelligence Structure Rela0onships Seman0cs

Transform

Math and Stats

Data Mining

Business Intelligence

Applications

Languages

Marketing

ANALYTIC TOOLS & APPS

Deliver

Data Integration

SK 38

Relationships Quality score

Statistics

Universal Metadata Catalog

Rules Glossary Ratings

Transformations

Stewardship

3rd party BI/Modeling

Sens

itive

Dat

a

Trac

king

Universal Metadata Catalog

INTEGRATED DATA WAREHOUSE

DATA PLATFORM

INTEGRATED DISCOVERY PLATFORM

SK 41

Hadoop Cloud Server Desktop Data Virtualization

Embedded in apps

+

Integration Flexibility à Deploy Anywhere

DTG

SK 44

15

Automated Insight Visibility

Identify Data Power Brokers Better Alignment

Recipes to Mappings Ad-Hoc to Governed

Rapidly Assemble Data Sets

Business Self Service

Discover, Learn, Fix

Automatic Data Suggestion

Leverage Wisdom of the Crowd Social Collaboration

For Business For IT SK 47

Audience Questions CI 50




Recommendations

17

•  Unified data architecture •  Best fit engineering •  Workload balancing •  Comprehensive metadata •  Flexible deployment •  Business self-service

SB 53

Final Audience Questions

DTG

CI 10






The End

19

Be sure to download the white paper by these CTOs, Best Fit Engineering in Analytic Architecture.

Find it in the Resource panel on your webinar console.

3 CTOs Discuss the Shift to Next-Gen Analytic Ecosystems

Software

Transcript of 3 CTOs Discuss the Shift to Next-Gen Analytic Ecosystems