Where the Warehouse Ends: A New Age of Information Access

Twitter Tag: #briefr The Briefing Room
Welcome
Host:
Eric Kavanagh
eric.kavanagh@bloorgroup.com

!   Reveal the essential characteristics of enterprise software,
good and bad
!   Provide a forum for detailed analysis of today s innovative
technologies
!   Give vendors a chance to explain their product to savvy
analysts
!   Allow audience members to pose serious questions... and get
answers!
Mission

MAY: Integration
June: DATABASE
July: CLOUD
August: HIGH PERFORMANCE ANALYTICS

Processing Monitoring
Integration
MOBILE
M a c h i n e - g e n e r a t e d
RFID
SINGLE
VIEW
Applications
+
Web Services
Excel
+
Flat files
Hadoop
+
Big Data
OLAP Cubes
+
Data Warehouse
XML
RDBMS

Analyst: Barry Devlin
Barry Devlin is the
founder and principal of
9sight Consulting

!   Composite Software takes the data virtualization approach
to the data integration challenge, providing an agile,
relatively low cost solution with rapid deployment and
quick iterations
!   Its platform unifies data from multiple, disparate sources
into a logical virtual data layer and readies data for
consumption
!   Composite’s Analytic Sandbox and Analytic Hub allow
analysts the flexibility to perform purposeful analytics
Composite Software

David Besemer
David Besemer is the CTO of Composite Software. For
over twenty-five years, David has architected and
engineered leading-edge software technologies and
companies. Before joining Composite he was CTO in
residence for several venture firms, CTO of eStyle and
Product Marketing Director at NeXT Computer. Prior to
that he built program trading systems on Wall Street
and researched natural language processing systems at
GE’s Corporate R&D center. David holds a BS in
computer science from Michigan State University and
an MS in computer science from Rensselaer
Polytechnic Institute.

9
© 2013 Composite Software, Inc., Composite Proprietary
Data Integration for Analytics
The Briefing Room
David Besemer
CTO
Composite Software

10
OTHER
BUSINESSES
Business Leaders Take Advantage of Their Data
OBJECTIVES:
•  Agility
•  Cost Reduction
•  Competitive Advantage
BUSINESS
LEADERS

11
Data Warehouses
Supplying Data for Analytics Used To Be Easier
The
Business

12
Data Warehouses
Operational
Databases
Enterprise
Applications
Today Data for Analytics Presents A Bigger Challenge
The
Business
“The Cloud”
“Big Data”
Third Party Data

13
Data Warehouses
Composite Lets You Take Big Advantage of Your Data
Operational
Databases
Enterprise
Applications “The Cloud”
“Big Data”
Third Party Data
The
Business

14
Organizations That Gain Big Advantage Using Composite

How to Solve the Analyst’s Data Problem

16
The Analyst’s “Data Problem”
Find the
Data
Access
the
Data
Build a
Sandbox
for the
Data
Build the
Model
Analyze
the
Results
Develop
the
Business
Insight
“Analysts spend more
than half their time pulling
together their data”

17
Iterate, Iterate, Iterate….. Agility Is Critical
Find the
Data
Access
the
Data
Build a
Sandbox
for the
Data
Build the
Model
Analyze
the
Results
Develop
the
Business
Insight

18
Addressing the Analyst’s Data Problem
•  Identify local,
enterprise and
external data
sources
•  Flexibly group, sort
and search
sources
Find the
Data
Access
the
Data
Build a
Sandbox
for the
Data
•  Connect various
source data types
and data shapes
•  Explore live data
•  Create a unified
data model
•  Filter, transform
and aggregate
data sets
•  Selectively
materialize into
sandbox host

19
Data Warehouses
Deployment Options: Analytic Sandboxes & Data Hubs
Operational
Databases
Enterprise
Applications “The Cloud”
“Big Data”
Third Party Data
Analytic
Data Hub
Analytic Data Hub
•  Agility
•  Self-service
•  Recurring analyses
•  Broader use
•  Central control
Analytic Sandbox
•  Agility
•  Self-service
•  One-off analyses
•  Personal use
•  Local control
Analytic
Sandbox

20
Benefits
• Faster time to analysis
◦  Simplify access to enterprise and local data
◦  Accelerate insight and business impact
• Self-service data integration
◦  Empower analytic users
◦  New role for IT as data provider
• Improved data consistency and quality
◦  Promote reuse of proven datasets
•  Share data integration logic across analytic tools

21
Gain More Insights By Leveraging All Your Data
$21M in Services
Upsell Revenue
$9M Increase in
PlayStation Revenue

22
Respond Faster To Ever Changing Analytics Needs
“Hours or Days,
Not Weeks or Months…
That’s Agility!”
“10 Times Faster Response to
Executive Information
Requests”

23
Save 50-75% Over Data Replication And Consolidation
“$4.5M in savings on first
project”
“Spent 80% Less”

24
Composite Provides a CompleteAnalytics Data Integration
Solution
Discovery
Active Cluster
Composite Information Server Monitor
Manager
Studio
PerformancePlus
Adapters
Development
Environment
Runtime Server
Environment
Management
Environment
XML
Packaged Apps RDBMS Excel Files Data Warehouse OLAP Cubes Hadoop / Big Data XML Docs Flat Files Web Services
Composite 6.2 Data Virtualization Platform
Human Capital
Management
Governance,
Risk &
Compliance
Business
Intelligence
Customer
Experience
Management
Mergers &
Acquisitions
Single View of
Enterprise Data
Supply Chain
Management Analytics

25
Data Virtualization
Leadership Blog
Data Virtualization
Case Study Book
For More Information
Data Virtualization
Day
Analyst Webinars &
White Papers
The Data Virtualization
Channel
Data Virtualization
Community
Data Virtualization
Microsite
Enterprise Information
Insight

THE BIG DATA ADVANTAGE:
TAKE BIG ADVANTAGE OF YOUR DATA

Barry Devlin
27
Copyright © 2013 9sight Consulting
Founder and Principal
9sight Consulting, www.9sight.com
Dr. Barry Devlin is a founder of the data warehousing industry
and among the foremost authorities worldwide on business
intelligence (BI) and beyond. He is a widely respected
consultant, lecturer and author of “Data Warehouse—from
Architecture to Implementation”. Barry has 30 years of
experience in the IT industry, previously with IBM, as an
architect, consultant, manager and software evangelist.
As founder and principal of 9sight Consulting (www.
9sight.com), Barry provides strategic consulting and thought-
leadership to buyers and vendors of BI solutions. He is
currently developing a new architectural model for fully
consistent business support—from informational to
operational and collaborative—Business Integrated Insight
(BI2). Based in Cape Town, South Africa, Barry’s knowledge
and expertise are in demand both locally and internationally.
Email: barry@9sight.com
Twitter: @BarryDevlin

Everybody’s integrating something…always
29
Integration is the key IT enabler for the
business process… [and] touches and
connects all areas of the business, its
customers, suppliers and partners.
Jason Hill, partner, Glue Reply via
http://blogs.computerworlduk.com/management-
briefing/2012/10/the-dangers-of-taking-your-eye-
off-integration/index.htm

The dilemma is…
…everybody thinks its
something different
So, let’s review…
30

Prior integration – during data warehouse population
§  The original goal – consistency
§  Bespoke programming
§  Extract – Transform – Load (ETL)
§  Highly technical focus on data
and process of operational systems
§  Reducing in popularity… but not
going away
31

§  The Prodigal Son returns –
timeliness / agility
§  Federation becomes
Virtualization
§  Also driven by “big data”
volume and variety
§  Growing in popularity… but
not the only answer
32
Immediate integration – at query time

“Where the warehouse ends…” means:
§  Logical boundary to the
scope and purpose of
the data warehouse
§  Consistency still matters
§  Information and data for
analytics and operations
beyond this boundary
§  Timeliness is key
§  For more on this architectural
picture see: http://bit.ly/OpAn-A2Z
33
Core
Reporting
& Analytic
Data
Fast
Analytic
Data
Prior Integration
Core
Business
Data
Deep
Analytic
Info
Specialty
Analytic
Data
Specialty
Analytic
Data
Operational Systems
Machine-generated
Data Process-mediated Data
Human-sourced
Information
Business Analytics and Administrative Tools
Integrated information platform
Metadata
Data Virtualization
(Immediate Integration)
Events Transactions Communications

Concept integration – from information to data
§  Data is information dumbed down
for computers
§  Information contains the human
context
§  Integration must first occur
conceptually at the business level
–  Modeling, text analytics, etc.
§  Common metadata needed for
prior and immediate integration
34

Questions (1)
1.  What is Composite’s take on the title of the webinar “Where the
Warehouse Ends?”
2.  The Analyst’s “Data Problem” has been around forever and everybody
has claimed to tackle it one time or another. Why would Composite
succeed where others have failed?
3.  Conceptually, I understand the distinction you’re making between the
“analytic sandbox” and “analytic data hub.” However, in implementation
terms, they seem very similar or perhaps even identical. Can you
clarify, please?
4.  Data virtualization is very much part of the “plumbing business.” How
do you convince the CMO that it’s as sexy as Hadoop? How do you
position yourself vs. the “Yellow Elephant Solution” to all the world’s
data needs and opportunities?
5.  The phrase “self-service data integration” worries me even more than
“self-service BI.” Do you really think business users can do this well?
How can you help them to do so?
36

Questions (2)
6.  What do you see as the biggest challenges for a business new to data
virtualization? How does Composite address them?
7.  I position (roughly) ETL for consistency and data virtualization for
agility. How do you see that distinction? Does Composite have
functions (or plans) that would drive enhanced data consistency in a
virtualized environment?
8.  You claim 50-75% savings over data replication and consolidation. Is
this a short-term benefit of the first project or is it repeatable? My
observation is that in the longer term, investment in consistency (via
replication and consolidation) will pay dividends. What is your view?
37

June: DATABASE
July: CLOUD
August: HIGH PERFORMANCE ANALYTICS
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for Your
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Where the Warehouse Ends: A New Age of Information Access

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