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Logical Data Fabric: The Future of Data
Management and Analytics
#DenodoDataFest
Lessons Learned From Over 25 Data
Virtualization Implementations
Partner, Technology Consulting
Vincent L'Archeveque
Manohar Vajpey
Partner, Technology Consulting
WHO WE ARE
STRATEGIC
LESSONS
IMPLEMENTATION
LESSONS
ADDITIONAL
LESSONS
CONTACT US
CANADA
Calgary
Vancouver
Ottawa
Montreal
Quebec
UNITED
STATES
San Francisco
San Diego
Denver
Hartford
Princeton & Newark
Fort Lauderdale
Based in
Calgary, Alberta
Focus on Data
Management
Data Virtualization
 Experts
End-to-end Data
Solutions
CLIENT
LOCATIONS
+
TOGETHER, we meet the
evolving needs of clients and
create opportunity
Leader in
data management
Providing end-to-end
solutions
WHO WE ARE
STRATEGIC
LESSONS
IMPLEMENTATION
LESSONS
ADDITIONAL
LESSONS
CONTACT US
KEY TECHNOLOGY
PARTNERS
WHO WE ARE
STRATEGIC
LESSONS
IMPLEMENTATION
LESSONS
ADDITIONAL
LESSONS
CONTACT US
INDUSTRIES
WE SERVE
Oil and Gas
Energy and
Utilities
Financial Services
Staffing and
Recruiting
Data Center
Management
Government
Insurance Social Media Telco Transportation
E-Commerce
and Food
Healthcare
WHO WE ARE
STRATEGIC
LESSONS
IMPLEMENTATION
LESSONS
ADDITIONAL
LESSONS
CONTACT US
System or
Cloud
Migration
Future Proof
(Abstraction
)
System
Integration
Virtual MDM
Security
Layer
Data Lake
Access
Real Time
Access
Data Service
Provisioning
Curated
Enterprise
Views
Self-Serve
DS/BI/Analy
tics
Logical
Semantic
OUR CLIENTS
USE CASES
WHO WE ARE
STRATEGIC
LESSONS
IMPLEMENTATION
LESSONS
ADDITIONAL
LESSONS
CONTACT US
General
Data
Provisioning
Virtual DM
STRATEGIC
LESSONS
STRATEGIC
LESSON
This is not the end of Data
Warehouses & Data Lakes
1
STRATEGIC
LESSON
No, it is not your last Data
Warehouse or Data Lake
2
Complement to other data integration styles
WHERE ARE YOU?
WHAT IS THE NEXT EVOLUTION?
This is a Second Major Cycle of Analytical Consolidation
1990s
EDW
Operational
Application
Operational
Application
Operational
Application
Data
Warehouse
2010s
Operational
Application
Operational
Application
Operational
Application
IoT Data
Other NewData
LDW
Data
Warehouse
ODS
Marts
Data Lake
Staging/
Ingest
1980s
Pre EDW
Operational
Application
Operational
Application
Operational
Application
Cube
Cube
?
2000s
Post EDW
Operational
Application
Operational
Application
Operational
Application
IoT Data
Other NewData
Data
Warehouse
Data
Lake
?
Fragmented/Non-existent
Analysis
• Multiple sources
• Multiple structured sources
Unified Analysis
• Consolidated data
• “Collect the data”
• Single server, multiple nodes
• More analysis than any one
server can provide
Fragmented/Non-existent
Analysis
• “Collect the data” (into
different repositories)
• New data types, processing,
requirements
• Uncoordinated views
Unified Analysis
• Logically consolidated view of
all data
• “Connect and collect”
• Multiple servers, of multiple
nodes
• More analysis than any one
system can provide
WHO WE ARE
STRATEGIC
LESSONS
IMPLEMENTATION
LESSONS
ADDITIONAL
LESSONS
CONTACT US
WHERE ARE YOU?
WHAT IS THE NEXT EVOLUTION?
This is a Second Major Cycle of Analytical Consolidation
1980s
Pre EDW
1990s 2000s 2010s
EDW Post EDW
Operational
Application
Operational
Application
Operational
Application
Cube
Cube
Operational
Application
Operational
Application
Operational
Application
Data
Warehouse
Operational
Application
Operational
Application
Operational
Application
IoT Data
Other NewData
Data
Warehouse
Data
Lake
Operational
Application
Operational
Application
Operational
Application
IoT Data
Other NewData
?
?
Fragmented/Non-existent
Analysis
• Multiple sources
• Multiple structured sources
Unified Analysis
• Consolidated data
• “Collect the data”
• Single server, multiple nodes
• More analysis than any one
server can provide
Fragmented/Non-existent
Analysis
• “Collect the data” (into
different repositories)
• New data types, processing,
requirements
• Uncoordinated views
Unified Analysis
• Logically consolidated view of
all data
• “Connect and collect”
• Multiple servers, of multiple
nodes
• More analysis than any one
system can provide
Where are you?
WHO WE ARE
STRATEGIC
LESSONS
IMPLEMENTATION
LESSONS
ADDITIONAL
LESSONS
CONTACT US
Data
Warehouse
ODS
Marts
Staging/
Ingest
Data Lake
Data Virtualization LDW
STRATEGIC
LESSON
Get consensus on the value of
abstraction for your organization
3
TRADITIONAL POSITIONING
OF DENODO
Structured Data
Unstructured Data
Application
Data Ingestion Storage
Compute
Data Access Data Insight
• RDBMS
• Excel
• Flat files
• JSON
• XML
• Email
• RFID
• Sensors (IIIoT)
• Wearables
• Social media
• LOG
• Batch
• CDC
• Real Time/Data
Streaming
• Data Warehouse
• RDBMS
• noSQL
• Big Data Lakes
Metadata
Enrichment
Search and Index
Data
Virtualization
Data Services
Dashboards
Reporting
Data Discovery
and Self-Service
Data Mining
Governance and Metadata Management
Security
DATA
VIRTUALIZATION
WHO WE ARE
STRATEGIC
LESSONS
IMPLEMENTATION
LESSONS
ADDITIONAL
LESSONS
CONTACT US
STRATEGIC
ABSTRACTION
In our opinion, the single best benefit of adding Denodo to your data landscape is the power of abstraction that
it brings. Abstraction by Denodo fully abstracts your data consumption from your data storage. 
Abstraction is an architecture decision
Abstraction will
• Future proof your
architecture
• Make you agile and faster
• Always be a relevant
feature of your
architecture
The need for
abstraction can be
forgotten or less
obvious when your
users design a single
solution
WHO WE ARE
STRATEGIC
LESSONS
IMPLEMENTATION
LESSONS
ADDITIONAL
LESSONS
CONTACT US
STRATEGIC
LESSON
Evaluate the right use case for Denodo
4
CHOOSE THE RIGHT
USE CASE
Denodo is more than just a Data Hub, possibilities are above and beyond data integration. Possibilities need to
be shared with the internal dev community.
1 2 3
Carefully validate use
cases to put on Denodo,
the enthusiasm for the
platform can get out of
control 
Denodo is a Swiss Knife,
it can play a role in most
solutions but it shouldn’t
play every role
Learning: Educating a
Denodo developer
requires some time to
“Think Virtual”
For best performance: new Denodo developers need to go through an onboarding process to
understand the platform
WHO WE ARE
STRATEGIC
LESSONS
IMPLEMENTATION
LESSONS
ADDITIONAL
LESSONS
CONTACT US
STRATEGIC
LESSON
Pay attention to Governance
5
PAY ATTENTION TO
GOVERNANCE
Denodo can become the place to
understand and monitor enterprise data
flows
02
• Who is using this data?
• How often is this data
being used?
Denodo can gradually become the
entry point into all your data assets.
01
Denodo can become the best place to
centralize your security policy implementation
04
• Where else will you
maintain security across
multiple sources that need
to be integrated?
Data pipelines seem to be getting longer
and longer. Denodo can become the
best place to maintain an abstraction
while the data pipelines are
re-engineered and shortened. 0
3
WHO WE ARE
STRATEGIC
LESSONS
IMPLEMENTATION
LESSONS
ADDITIONAL
LESSONS
CONTACT US
STRATEGIC
LESSON
Not all Virtualization is Equal
6
STRATEGIC
LESSON
Involve Both IT and Business In
The Evaluation Of Each Case
7
STRATEGIC
LESSON
Build An Internal Data
Virtualization Community
6
STRATEGIC
LESSON
Consider Data Security
Concerns Upfront
7
IMPLEMENTATION
LESSONS
IMPLEMENTATION
LESSON
Denodo as your scalable query
orchestrator and not as a compute
enginestorage
1
IMPLEMENTATION
LESSON
Understand & respect the
optimizer…and turn it on!
2
UNDERSTAND AND RESPECT
THE OPTIMIZER
WHO WE ARE
STRATEGIC
LESSONS
IMPLEMENTATION
LESSONS
ADDITIONAL
LESSONS
CONTACT US
Query push down is your primary goal, understanding it
Activate all key features of the
optimizer including Data
Movement
Minimize “black boxes” at the
source (views, stored
procedures, DB Links)
Structure your solution with
your sources in mind
Remember Temporary Data Movement
Option 1? Option 2?
group by
join
create temp
table
group by
join
Sales Custome
r
300M 2M
Naïve Strategy
Sales Custome
r
Temp_Customer
2M
Temporary Data
Movement
50
Statistics, statistics, statistics!
UNDERSTAND AND RESPECT
THE OPTIMIZER
WHO WE ARE
STRATEGIC
LESSONS
IMPLEMENTATION
LESSONS
ADDITIONAL
LESSONS
CONTACT US
Query push down is your primary goal, understanding it
Activate all key features
of the optimizer
including Data
Movement
Minimize “black boxes”
at the source (views,
stored procedures, DB
Links)
Structure your solution
with your sources in
mind
IMPLEMENTATION
LESSON
Work closely with the source owners
and admins
3
COLLABORATE WITH THE
SOURCE ADMINS
WHO WE ARE
STRATEGIC
LESSONS
IMPLEMENTATION
LESSONS
ADDITIONAL
LESSONS
CONTACT US
Get the buy in to use their
compute
Get the buy in to use their
storage
Work with them on alternative
strategy for compute and
storage
IMPLEMENTATION
LESSON
Have a Gate Keeper
4
HAVE A
GATE KEEPER
WHO WE ARE
STRATEGIC
LESSONS
IMPLEMENTATION
LESSONS
ADDITIONAL
LESSONS
CONTACT US
We recommend every client to have a
"Release Manager" or "Librarian". That
person or team is responsible for the
health of the platform. They monitor
developer's work, supervise
promotions of and block unhealthy
code
Why is this required?
Ensures the quality of metadata
transitioning between environments is
high A “Librarian” will be the
gatekeeper of the environment and
will prevent any code that does not
respect your best practices from being
promoted to another environment
IMPLEMENTATION
LESSON
Latency Matters
5
OUR NEW
WORLD
WHO WE ARE
STRATEGIC
LESSONS
IMPLEMENTATION
LESSONS
ADDITIONAL
LESSONS
CONTACT US
US
WEST
Azure Data
Lake
CANADA
CENTRAL
ON-PREM
LESSONS LEARNED
LATENCY MATTERS
WHO WE ARE
STRATEGIC
LESSONS
IMPLEMENTATION
LESSONS
ADDITIONAL
LESSONS
CONTACT US
Place the Denodo servers close to where the data is gravitating towards 
01 02
One Denodo server 
in each cloud
One Denodo server 
on-prem
Multiple Denodo servers can often be used to integrate data closer
to the stores
SELF-SERVING
LESSON
Start on the right foot with expert support
HOW TO BE
SUCCESSFUL
WHO WE ARE
STRATEGIC
LESSONS
IMPLEMENTATION
LESSONS
ADDITIONAL
LESSONS
CONTACT US
Start with a single
project
That has:
• Disparate data
• Value in speed
• Value in
abstraction
• Unclear
roadmap
Learn 🡪 Adjust 🡪
Repeat
Get expert
support upfront
FINAL
LESSON
Remember why you are doing this
REMEMBER WHY
YOU ARE DOING THIS
WHO WE ARE
STRATEGIC
LESSONS
IMPLEMENTATION
LESSONS
ADDITIONAL
LESSONS
CONTACT US
1 SPEED OF
DELIVERY
Virtual first, physical later
2 ABSTRACTION
CONNECTIVITY
THE TEAM
WHO WE ARE
STRATEGIC
LESSONS
IMPLEMENTATION
LESSONS
ADDITIONAL
LESSONS
CONTACT US
Vincent L’Archeveque
Partner, Technology
Consulting
Mano Vajpey
Partner, Technology
Consulting
Arif Rajwani
Partner,
Technology
Consulting
+
© Copyright Denodo Technologies. All rights reserved
Unless otherwise specified, no part of this PDF file may be reproduced or utilized in
any for or by any means, electronic or mechanical, including photocopying and
microfilm, without prior the written authorization from Denodo Technologies.
Thank You!

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Lessons learned from over 25 Data Virtualization implementations

  • 1. Logical Data Fabric: The Future of Data Management and Analytics
  • 2. #DenodoDataFest Lessons Learned From Over 25 Data Virtualization Implementations Partner, Technology Consulting Vincent L'Archeveque Manohar Vajpey Partner, Technology Consulting
  • 3.
  • 4. WHO WE ARE STRATEGIC LESSONS IMPLEMENTATION LESSONS ADDITIONAL LESSONS CONTACT US CANADA Calgary Vancouver Ottawa Montreal Quebec UNITED STATES San Francisco San Diego Denver Hartford Princeton & Newark Fort Lauderdale Based in Calgary, Alberta Focus on Data Management Data Virtualization  Experts End-to-end Data Solutions CLIENT LOCATIONS
  • 5. + TOGETHER, we meet the evolving needs of clients and create opportunity Leader in data management Providing end-to-end solutions WHO WE ARE STRATEGIC LESSONS IMPLEMENTATION LESSONS ADDITIONAL LESSONS CONTACT US
  • 6. KEY TECHNOLOGY PARTNERS WHO WE ARE STRATEGIC LESSONS IMPLEMENTATION LESSONS ADDITIONAL LESSONS CONTACT US
  • 7. INDUSTRIES WE SERVE Oil and Gas Energy and Utilities Financial Services Staffing and Recruiting Data Center Management Government Insurance Social Media Telco Transportation E-Commerce and Food Healthcare WHO WE ARE STRATEGIC LESSONS IMPLEMENTATION LESSONS ADDITIONAL LESSONS CONTACT US
  • 8. System or Cloud Migration Future Proof (Abstraction ) System Integration Virtual MDM Security Layer Data Lake Access Real Time Access Data Service Provisioning Curated Enterprise Views Self-Serve DS/BI/Analy tics Logical Semantic OUR CLIENTS USE CASES WHO WE ARE STRATEGIC LESSONS IMPLEMENTATION LESSONS ADDITIONAL LESSONS CONTACT US General Data Provisioning Virtual DM
  • 10. STRATEGIC LESSON This is not the end of Data Warehouses & Data Lakes 1 STRATEGIC LESSON No, it is not your last Data Warehouse or Data Lake 2 Complement to other data integration styles
  • 11. WHERE ARE YOU? WHAT IS THE NEXT EVOLUTION? This is a Second Major Cycle of Analytical Consolidation 1990s EDW Operational Application Operational Application Operational Application Data Warehouse 2010s Operational Application Operational Application Operational Application IoT Data Other NewData LDW Data Warehouse ODS Marts Data Lake Staging/ Ingest 1980s Pre EDW Operational Application Operational Application Operational Application Cube Cube ? 2000s Post EDW Operational Application Operational Application Operational Application IoT Data Other NewData Data Warehouse Data Lake ? Fragmented/Non-existent Analysis • Multiple sources • Multiple structured sources Unified Analysis • Consolidated data • “Collect the data” • Single server, multiple nodes • More analysis than any one server can provide Fragmented/Non-existent Analysis • “Collect the data” (into different repositories) • New data types, processing, requirements • Uncoordinated views Unified Analysis • Logically consolidated view of all data • “Connect and collect” • Multiple servers, of multiple nodes • More analysis than any one system can provide WHO WE ARE STRATEGIC LESSONS IMPLEMENTATION LESSONS ADDITIONAL LESSONS CONTACT US
  • 12. WHERE ARE YOU? WHAT IS THE NEXT EVOLUTION? This is a Second Major Cycle of Analytical Consolidation 1980s Pre EDW 1990s 2000s 2010s EDW Post EDW Operational Application Operational Application Operational Application Cube Cube Operational Application Operational Application Operational Application Data Warehouse Operational Application Operational Application Operational Application IoT Data Other NewData Data Warehouse Data Lake Operational Application Operational Application Operational Application IoT Data Other NewData ? ? Fragmented/Non-existent Analysis • Multiple sources • Multiple structured sources Unified Analysis • Consolidated data • “Collect the data” • Single server, multiple nodes • More analysis than any one server can provide Fragmented/Non-existent Analysis • “Collect the data” (into different repositories) • New data types, processing, requirements • Uncoordinated views Unified Analysis • Logically consolidated view of all data • “Connect and collect” • Multiple servers, of multiple nodes • More analysis than any one system can provide Where are you? WHO WE ARE STRATEGIC LESSONS IMPLEMENTATION LESSONS ADDITIONAL LESSONS CONTACT US Data Warehouse ODS Marts Staging/ Ingest Data Lake Data Virtualization LDW
  • 13. STRATEGIC LESSON Get consensus on the value of abstraction for your organization 3
  • 14. TRADITIONAL POSITIONING OF DENODO Structured Data Unstructured Data Application Data Ingestion Storage Compute Data Access Data Insight • RDBMS • Excel • Flat files • JSON • XML • Email • RFID • Sensors (IIIoT) • Wearables • Social media • LOG • Batch • CDC • Real Time/Data Streaming • Data Warehouse • RDBMS • noSQL • Big Data Lakes Metadata Enrichment Search and Index Data Virtualization Data Services Dashboards Reporting Data Discovery and Self-Service Data Mining Governance and Metadata Management Security DATA VIRTUALIZATION WHO WE ARE STRATEGIC LESSONS IMPLEMENTATION LESSONS ADDITIONAL LESSONS CONTACT US
  • 15. STRATEGIC ABSTRACTION In our opinion, the single best benefit of adding Denodo to your data landscape is the power of abstraction that it brings. Abstraction by Denodo fully abstracts your data consumption from your data storage.  Abstraction is an architecture decision Abstraction will • Future proof your architecture • Make you agile and faster • Always be a relevant feature of your architecture The need for abstraction can be forgotten or less obvious when your users design a single solution WHO WE ARE STRATEGIC LESSONS IMPLEMENTATION LESSONS ADDITIONAL LESSONS CONTACT US
  • 16. STRATEGIC LESSON Evaluate the right use case for Denodo 4
  • 17. CHOOSE THE RIGHT USE CASE Denodo is more than just a Data Hub, possibilities are above and beyond data integration. Possibilities need to be shared with the internal dev community. 1 2 3 Carefully validate use cases to put on Denodo, the enthusiasm for the platform can get out of control  Denodo is a Swiss Knife, it can play a role in most solutions but it shouldn’t play every role Learning: Educating a Denodo developer requires some time to “Think Virtual” For best performance: new Denodo developers need to go through an onboarding process to understand the platform WHO WE ARE STRATEGIC LESSONS IMPLEMENTATION LESSONS ADDITIONAL LESSONS CONTACT US
  • 19. PAY ATTENTION TO GOVERNANCE Denodo can become the place to understand and monitor enterprise data flows 02 • Who is using this data? • How often is this data being used? Denodo can gradually become the entry point into all your data assets. 01 Denodo can become the best place to centralize your security policy implementation 04 • Where else will you maintain security across multiple sources that need to be integrated? Data pipelines seem to be getting longer and longer. Denodo can become the best place to maintain an abstraction while the data pipelines are re-engineered and shortened. 0 3 WHO WE ARE STRATEGIC LESSONS IMPLEMENTATION LESSONS ADDITIONAL LESSONS CONTACT US
  • 21. STRATEGIC LESSON Involve Both IT and Business In The Evaluation Of Each Case 7
  • 22. STRATEGIC LESSON Build An Internal Data Virtualization Community 6
  • 25. IMPLEMENTATION LESSON Denodo as your scalable query orchestrator and not as a compute enginestorage 1
  • 26. IMPLEMENTATION LESSON Understand & respect the optimizer…and turn it on! 2
  • 27. UNDERSTAND AND RESPECT THE OPTIMIZER WHO WE ARE STRATEGIC LESSONS IMPLEMENTATION LESSONS ADDITIONAL LESSONS CONTACT US Query push down is your primary goal, understanding it Activate all key features of the optimizer including Data Movement Minimize “black boxes” at the source (views, stored procedures, DB Links) Structure your solution with your sources in mind Remember Temporary Data Movement Option 1? Option 2? group by join create temp table group by join Sales Custome r 300M 2M Naïve Strategy Sales Custome r Temp_Customer 2M Temporary Data Movement 50 Statistics, statistics, statistics!
  • 28. UNDERSTAND AND RESPECT THE OPTIMIZER WHO WE ARE STRATEGIC LESSONS IMPLEMENTATION LESSONS ADDITIONAL LESSONS CONTACT US Query push down is your primary goal, understanding it Activate all key features of the optimizer including Data Movement Minimize “black boxes” at the source (views, stored procedures, DB Links) Structure your solution with your sources in mind
  • 29. IMPLEMENTATION LESSON Work closely with the source owners and admins 3
  • 30. COLLABORATE WITH THE SOURCE ADMINS WHO WE ARE STRATEGIC LESSONS IMPLEMENTATION LESSONS ADDITIONAL LESSONS CONTACT US Get the buy in to use their compute Get the buy in to use their storage Work with them on alternative strategy for compute and storage
  • 32. HAVE A GATE KEEPER WHO WE ARE STRATEGIC LESSONS IMPLEMENTATION LESSONS ADDITIONAL LESSONS CONTACT US We recommend every client to have a "Release Manager" or "Librarian". That person or team is responsible for the health of the platform. They monitor developer's work, supervise promotions of and block unhealthy code Why is this required? Ensures the quality of metadata transitioning between environments is high A “Librarian” will be the gatekeeper of the environment and will prevent any code that does not respect your best practices from being promoted to another environment
  • 34. OUR NEW WORLD WHO WE ARE STRATEGIC LESSONS IMPLEMENTATION LESSONS ADDITIONAL LESSONS CONTACT US US WEST Azure Data Lake CANADA CENTRAL ON-PREM
  • 35. LESSONS LEARNED LATENCY MATTERS WHO WE ARE STRATEGIC LESSONS IMPLEMENTATION LESSONS ADDITIONAL LESSONS CONTACT US Place the Denodo servers close to where the data is gravitating towards  01 02 One Denodo server  in each cloud One Denodo server  on-prem Multiple Denodo servers can often be used to integrate data closer to the stores
  • 36. SELF-SERVING LESSON Start on the right foot with expert support
  • 37. HOW TO BE SUCCESSFUL WHO WE ARE STRATEGIC LESSONS IMPLEMENTATION LESSONS ADDITIONAL LESSONS CONTACT US Start with a single project That has: • Disparate data • Value in speed • Value in abstraction • Unclear roadmap Learn 🡪 Adjust 🡪 Repeat Get expert support upfront
  • 39. REMEMBER WHY YOU ARE DOING THIS WHO WE ARE STRATEGIC LESSONS IMPLEMENTATION LESSONS ADDITIONAL LESSONS CONTACT US 1 SPEED OF DELIVERY Virtual first, physical later 2 ABSTRACTION CONNECTIVITY
  • 40. THE TEAM WHO WE ARE STRATEGIC LESSONS IMPLEMENTATION LESSONS ADDITIONAL LESSONS CONTACT US Vincent L’Archeveque Partner, Technology Consulting Mano Vajpey Partner, Technology Consulting Arif Rajwani Partner, Technology Consulting
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  • 42. © Copyright Denodo Technologies. All rights reserved Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and microfilm, without prior the written authorization from Denodo Technologies. Thank You!