The Briefing Room with Krish Krishnan and Denodo Live Webcast 5-28-2013 Rapid time-to-insight makes analysts happy, but rapid time-to-action is what executives want most. Being able to respond quickly to market changes, new opportunities or customer requests is increasingly a must-have in today's competitive landscape. The key ingredient for this kind of organizational flexibility? Data! Companies that can quickly pull together a variety of data sources have a significant advantage over those that cannot. Register for this episode of The Briefing Room to hear Analyst Krish Krishnan of Sixth Sense explain how linked data services can provide the necessary foundation for an agile enterprise. He'll be briefed by Suresh Chandrasekaran of Denodo Technologies who will showcase his company's mature data virtualization platform. He'll demonstrate how a point-and-click interface can be used to quickly assemble a wide range of data sets, thus enabling companies to build business solutions that address very specific enterprise needs. Visit: http://www.insideanalysis.com

1. The Briefing Room
Down to Business: Taking Action Quickly with Linked Data Services

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Welcome
Host:
Eric Kavanagh
eric.kavanagh@bloorgroup.com

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! 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

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

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Integration
ü Data is growing in
volume and complexity
ü Architectures are
becoming more
business-driven
ü Analysts want faster
time to action
ü The BYOD movement
complicates things further

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Analyst: Krish Krishnan
Mr. Krishnan is a recognized expert worldwide in the
strategy, architecture and implementation of high
performance data warehousing solutions and
unstructured Data. He co-authored “Building the
Unstructured Data Warehouse” along with Bill Inmon.
He also has written eBooks, over 150 articles,
viewpoints and case studies in Big Data, Business
Intelligence, Data Warehousing, Data Warehouse
Appliances and High Performance Architectures.
Mr.Krishnan presents and speaks at TDWI, DAMA, IRM
UK, Wilshire Conferences, MIT Symposium and other
industry conferences. He leads the Data Warehouse
Appliance and Architectures Expert Channel at
BEyeNetwork.com and publishes with
www.beyenetwork.comkkrishnan.

7. Twitter Tag: #briefr The Briefing Room
! Denodo Technologies is a data integration and data
virtualization software company
! The Denodo Enterprise Data Services Platform delivers a
secure virtualized data services layer, allowing users to
achieve independence from physical data sources
! It enables Enterprise Data Management, facilitating the
re-use of both business data and data logic
Denodo Technologies

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Suresh Chandrasekaran
Suresh Chandrasekaran is a recognized expert in Data
Virtualization drawing from 15+ years of experience in
leading integration middleware and Web companies.
He speaks frequently at conferences on technology
and its business impact, most recently at Enterprise
Data World. Previously, Suresh was a management
consultant at Booz & Co. He has an MBA from the
University of Michigan and undergraduate degrees
from India.

9. © 2013 Denodo Technologies
Data Virtualization for Business Agility
Demo of Data Virtualization enabling Linked Data Services
- Consolidated View of Business Entities Across Disparate
Data Assets through a Unified Semantic Layer
Suresh Chandrasekaran
suresh@denodo.com
May 28, 2013

10. © 2013 Denodo Technologies
What Business Really Wants
“Get timely data access
(query, browse and search)
to any business relevant trusted data
in internal or external sources
through an increasing #/variety of apps
(including SaaS/Web and Mobile)
with rapid time to market
and flexibility to change or update”

11. © 2013 Denodo Technologies
Business Need for Information Agility
■ Business entity views
■ Pre-integrated information
■ Discovery, self-service
■ Fast access, ~ real-time
■ Trustworthy, accurate
■ Flexible, mobile
data
semantic
relations
information
knowledge
wisdom
understanding
relations
understanding
patterns
understanding
principles
understanding

12. © 2013 Denodo Technologies
Traditional Methods - Too Slow, Too Limited, Too Costly
■ The Data Warehousing Institute - Orgs on avg. take
• 8 weeks – add new data source to a DW
• 7 weeks - build complex dashboard or report
■ Forrester - IT spends avg. 1% of Rev. on Storage
• 75% of the data stored - inactive, rarely accessed
• 90% of all data access requests in production OLTP are
serviced by new data
■ Gartner –Top Technology Trends 2013
Data Virtualization - “Central to success is an enabling
technology infrastructure that helps information producers and
information consumers organize, share and exchange any type
of data and content, anytime, anywhere”

13. © 2013 Denodo Technologies
Challenges Met! Data Virtualization.
■ Access heterogeneous data
sources with different formats
■ Canonical views combine data
from different sources
■ Data virtually transformed
and cleaned
■ Create the associations
between the related entities
■ Ensure good performance
■ Minimize replication of data
which is costly
■ Increase reuse of data (self-
service, data services etc)
■ Integrated governance,
security, data quality

14. © 2013 Denodo Technologies

15. © 2013 Denodo Technologies
Denodo – Best of Breed Data Virtualization
DataConsumers Enterprise Applications, ESB Reporting, BI, Portals Mobile, Web, UsersDataVirtualization
Design Tools
Optimizer
Cache
Scheduler
Monitoring
Governance
Metadata
Security
Publish Real-time (Right-time) Data Services
Combine Transform, Improve Quality, Integrate
Connect Normalized Views of Disparate Data
Denodo Platform
Library of Wrappers Web Automation Any Data or Content Read and Write
DataSources
Databases &
Warehouses
Enterprise
Applications
Cloud / SaaS
Applications
XML, Excel,
Flat Files
Big Data,
NoSQL
Web 2.0
Soc. Media
PDF, Docs,
Index, Emails
More Structured Less Structured
Business Solutions
Access Information-
as-a-Service
Denodo Platform
Right Information
at the Right Time
Disparate Data
Any Source
Any Format
Multiple Protocols,
Formats
Linked Data Services
Query, Search, Browse
Request/Reply,
Event Driven
Secure
Delivery

16. © 2013 Denodo Technologies
Data Virtualization – Under the Covers

17. © 2013 Denodo Technologies
Data Virtualization Delivers New Capabilities
Data
Virtualization
Logical
abstraction &
decoupling
On-demand,
real-time
access to
disparate data
Semantic
integration of
structured,
Web,
unstructured
Agile Data
services
Provisioning
(many formats,
secure, reusable)
Unified data
governance

18. © 2013 Denodo Technologies
Financial: Return on Data Assets (ROA)3
IT / Structural: Single Unified Data Layer2
Business: Speed, Flexibility, Cost1
Why Data Virtualization?
Data Virtualization enables timely delivery of data and flexibility
to change at lower cost than traditional integration
A unified virtual layer that abstracts underlying source complexity
and presents disparate data as if from a single source
Multiply business value by increasing ‘shareability’ of a data
resource across multiple data users and use cases

19. © 2013 Denodo Technologies
DV Brings Agility to Enterprise Architecture
Enterprise Abstraction, Semantic Data Services, Agile Everything
Replicate
MDM/
Data warehouse
ETL
Propagate
SOA/
Service Registry
BPM/ESB
Collaborate
Portals
File Sharing
Email, Social
Platforms
Search
CMS
Knowledge-db
Crawl /Index,
Semantic Tool
Federate
Real-time
Query Engine
Multi-
Structured
Connectors
Agile BI
& Analytics
Agile
Applications
People
Processes
Content
Intelligence
Databases &
Warehouses
Enterprise
Applications
Cloud / SaaS
Applications
XML, Excel,
Flat Files
Big Data
NoSQL
Collaboration
Web 2.0
PDF, Docs,
Index, Emails
More Structured Less Structured
Diverse Data Sources and Formats
Data Virtualization
Data Virtualization

20. © 2013 Denodo Technologies
Who is Doing it? Leaders in Every Industry

21. © 2013 Denodo Technologies
Who is Doing it? Leaders in Every Industry

22. © 2013 Denodo Technologies
Denodo – Leader in Data Virtualization
Forrester - Leader in Forrester WaveTM: Data Virtualization
Gartner - Cool Vendor in Data Integration
Bloor – Top 10 IT Companies to Watch
The Burton Group – Best of Breed Data Virtualization
InfoWorld - Best Mashup Server
Information Management - Top 40 List
BioIT World- Best of Show 2012
Broadest Support for Data Sources, Broadest Provisioning Options for BI & Apps,
Agile High Performance, Unified Governance, Linked Data Services, Best ROA!

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Perceptions & Questions
Analyst:
Krish Krishnan

24. +
Big
Data
–
A
Business
Problem
Krish
Krishnan
Founder
–
President,
Sixth
Sense
Advisors
Inc
@copyright Sixth Sense
Advisors 2012

25. +
Tipping
Point
@copyright Sixth Sense Advisors
2012
• Enablers
– Web 2.0 Platforms
– Social Media
– Mobility
– Cloud
– Personalization
– Location &
Localization
Viral
change
inflected
by
a
boiling
point
or
a
drama4c
moment
of
cri$cal
mass
• Empowerment
– AnalyCcs
– Influence
&
Reach
– CommodiCzaCon

26. +
From
TransacConal
to
Behavioral
@copyright Sixth Sense Advisors
2012
The challenge facing the business today is the ability to influence the buyer decisions in a window
of opportunity that does not last long.The analytics available at a personalization level drives the
buyer whether it is choosing a Doctor or buying a Donut.
To compete in this new era, businesses need to be driven by data and analytics, which are largely
different from traditional transactions and campaigns
The Gen Z and Millinieal Generation of buyers will not be swayed by traditional engagement
models of selling products and services

27. +
A
Growing
Trend
@copyright Sixth Sense Advisors
2012

28. +
Business Evolution – Product to
Customer Focus Shifts
@copyright Sixth Sense Advisors
2012
Image source - internet

29. +
Forces
Shaping
Business
@copyright Sixth Sense Advisors
2012

30. +
Decision
Support
–
Now
&
Then
@copyright Sixth Sense Advisors
2012
ProductChannel
Sales
Promotion
Market
Price
Transactions
Customers

31. +
Decision
Support
–
Now
&
Then
@copyright Sixth Sense Advisors
2012
CustomerPromotion
Social
Presence
Behavior
Analytics
Competition Market
Value
Transactions
Price

32. +
State
of
Data
@copyright Sixth Sense Advisors
2012

33. +
Example
@copyright Sixth Sense Advisors
2012
Tweet: @jdoe – very disappointed with @united @checkin lousy svc, bad
mgmt, long lines #fail.
20000 retweets. 4 hours ago
IT Perspective
Text of 140 chars will be stored
as string.The data model for
this will be a table with source,
content, datetime.
Business Perspective
User – JDoe
Brand – United
Sentiment – Negative
Process – Check-in
Time – Waiting in long lines
Impact – shared 20000 times in 4
hours

34. +
Big
Data
Challenges
@copyright Sixth Sense Advisors
2012
Complex Ambiguous
Structure-
less
Minimally
Organized
Data Quality
Issues
Metadata
Needs
Intervention
Needs
Context
Needs
Analysis

35. +
Big
Data
DifferenCators
@copyright Sixth Sense Advisors
2012
§ Is Data definitely, but
§ It is not like anything you have dealt with before
§ Has no finite structure
§ Heavy on volume, ambiguous in metadata, loosely connected in structure
§ If data is linguistic oriented, processing will be heavily contextual
§ If data is numeric oriented, processing needs more granular data or has
more number crunching
§ If semi structured data, it needs more expansion and can have a mixed
workload

36. +
Analysis
@copyright Sixth Sense Advisors
2012

37. +
Processing
–
The
Details
@copyright Sixth Sense Advisors
2012
Tag
Categorize
Classify
Cleanse (Data Quality Rules)
Semantic Integration
Measure
Visualize
This entire cycle is
driven by business users
and more importantly
the Data Scientist Team.
IT serves as a facilitator
and a participant.
IF you make this an IT
driven initiative, you will
not be completely
successful

38. +
QuesCons
@copyright Sixth Sense Advisors
2012

39. +
QuesCons
@copyright Sixth Sense Advisors
2012
n Describe
the
importance
of
metadata
in
the
next
generaCon
data
roadmap.
n How
do
you
intend
to
use
semanCc
knowledgeworks
as
a
core
component
in
building
the
business
rules
for
the
new
systems?
How
do
you
foresee
the
evoluCon
from
a
sustained
knowledge-­‐base
to
a
dynamic
learning
applicaCon?
n The
systems
of
the
future
will
be
“learn
and
interact”
systems.
What
are
the
most
important
behaviors
that
a
system
must
learn?
n Why
do
we
think
that
data
virtualizaCon
provides
a
beVer
roadmap
for
data
integraCon?
n What
are
the
most
important
characterisCcs
of
the
next
generaCon
data
roadmap?

40. +
Thank
You
n Contact
n rkrish1124@yahoo.com
n TwiVer:
@datagenius
n Images
Source
-­‐
Internet
@copyright Sixth Sense Advisors 2012

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June: DATABASE
July: CLOUD
August: HIGH PERFORMANCE ANALYTICS
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Thank You
for Your
Attention