The Briefing Room
Down to Business: Taking Action Quickly with Linked Data Services
Twitter Tag: #briefr The Briefing Room
Welcome
Host:
Eric Kavanagh
eric.kavanagh@bloorgroup.com
Twitter Tag: #briefr The Briefing Room
!   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
Twitter Tag: #briefr The Briefing Room
MAY: Integration
June: DATABASE
July: CLOUD
August: HIGH PERFORMANCE ANALYTICS
Twitter Tag: #briefr The Briefing Room
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
Twitter Tag: #briefr The Briefing Room
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.
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
Twitter Tag: #briefr The Briefing Room
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.
© 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
© 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”
© 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
© 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”
© 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
© 2013 Denodo Technologies
© 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
© 2013 Denodo Technologies
Data Virtualization – Under the Covers
© 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
© 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
© 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
© 2013 Denodo Technologies
Who is Doing it? Leaders in Every Industry
© 2013 Denodo Technologies
Who is Doing it? Leaders in Every Industry
© 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!
Twitter Tag: #briefr The Briefing Room
Perceptions & Questions
Analyst:
Krish Krishnan
+
Big	
  Data	
  –	
  A	
  Business	
  Problem	
  
	
  
Krish	
  Krishnan	
  
Founder	
  –	
  President,	
  Sixth	
  Sense	
  Advisors	
  Inc	
  
@copyright Sixth Sense
Advisors 2012
+
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	
  
+
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
+
A	
  Growing	
  Trend	
  
@copyright Sixth Sense Advisors
2012
+
Business Evolution – Product to
Customer Focus Shifts
@copyright Sixth Sense Advisors
2012	
Image source - internet
+
Forces	
  Shaping	
  Business	
  
@copyright Sixth Sense Advisors
2012
+
Decision	
  Support	
  –	
  Now	
  &	
  Then	
  
@copyright Sixth Sense Advisors
2012	
ProductChannel
Sales
Promotion
Market
Price
Transactions
Customers
+
Decision	
  Support	
  –	
  Now	
  &	
  Then	
  
@copyright Sixth Sense Advisors
2012	
CustomerPromotion
Social
Presence
Behavior
Analytics
Competition Market
Value
Transactions
Price
+
State	
  of	
  Data	
  
@copyright Sixth Sense Advisors
2012
+
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
+
Big	
  Data	
  Challenges	
  
@copyright Sixth Sense Advisors
2012	
Complex Ambiguous
Structure-
less
Minimally
Organized
Data Quality
Issues
Metadata
Needs
Intervention
Needs
Context
Needs
Analysis
+
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
+
Analysis	
  
@copyright Sixth Sense Advisors
2012
+
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
+
QuesCons	
  
@copyright Sixth Sense Advisors
2012
+
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?	
  
+
Thank	
  You	
  
n  Contact	
  
n  rkrish1124@yahoo.com	
  
n  TwiVer:	
  @datagenius	
  
n  Images	
  Source	
  -­‐	
  Internet	
  
@copyright Sixth Sense Advisors 2012
Twitter Tag: #briefr The Briefing Room
Twitter Tag: #briefr The Briefing Room
June: DATABASE
July: CLOUD
August: HIGH PERFORMANCE ANALYTICS
Upcoming Topics
www.insideanalysis.com
Twitter Tag: #briefr The Briefing Room
Thank You
for Your
Attention

Down to Business: Taking Action Quickly with Linked Data Services

  • 1.
    The Briefing Room Downto Business: Taking Action Quickly with Linked Data Services
  • 2.
    Twitter Tag: #briefrThe Briefing Room Welcome Host: Eric Kavanagh eric.kavanagh@bloorgroup.com
  • 3.
    Twitter Tag: #briefrThe Briefing Room !   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
  • 4.
    Twitter Tag: #briefrThe Briefing Room MAY: Integration June: DATABASE July: CLOUD August: HIGH PERFORMANCE ANALYTICS
  • 5.
    Twitter Tag: #briefrThe Briefing Room 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
  • 6.
    Twitter Tag: #briefrThe Briefing Room 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: #briefrThe 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
  • 8.
    Twitter Tag: #briefrThe Briefing Room 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 DenodoTechnologies 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 DenodoTechnologies 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 DenodoTechnologies 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 DenodoTechnologies 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 DenodoTechnologies 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 DenodoTechnologies
  • 15.
    © 2013 DenodoTechnologies 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 DenodoTechnologies Data Virtualization – Under the Covers
  • 17.
    © 2013 DenodoTechnologies 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 DenodoTechnologies 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 DenodoTechnologies 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 DenodoTechnologies Who is Doing it? Leaders in Every Industry
  • 21.
    © 2013 DenodoTechnologies Who is Doing it? Leaders in Every Industry
  • 22.
    © 2013 DenodoTechnologies 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!
  • 23.
    Twitter Tag: #briefrThe Briefing Room 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   @copyrightSixth 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 SixthSense 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 SixthSense 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 SixthSense Advisors 2012
  • 39.
    + QuesCons   @copyright SixthSense 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
  • 41.
    Twitter Tag: #briefrThe Briefing Room
  • 42.
    Twitter Tag: #briefrThe Briefing Room June: DATABASE July: CLOUD August: HIGH PERFORMANCE ANALYTICS Upcoming Topics www.insideanalysis.com
  • 43.
    Twitter Tag: #briefrThe Briefing Room Thank You for Your Attention