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DATA VIRTUALIZATION PACKED LUNCH
WEBINAR SERIES
Sessions Covering Key Data Integration Challenges
Solved with Data Virtualization
Innovative Data Strategies for Advanced
Analytics Solutions and the Role of Data
Virtualization
Michael Dickson
Senior Sales Engineer, Denodo
Lorrin Ferdinand
Sr. Consultant, Denodo
Innovative Data Strategies
for Advanced Analytics
Solutions and the role of
Data Virtualization
Agenda
Denodo offers a versatile data virtualiztion
plaform that can be applied to a broad range of
data management challenges. As a Denodo gold
partner, Neudesic offers an equally broad range
of data management services through its
Predictive Enterprise Service Line including
expertise on data virtualization using Denodo.
Benefits of Data Virtualization
with Denodo
Architecture Patterns for
Data Virtualization
Case Study
Demo
About Neudesic
Founded in
2002
Privately held firm
headquartered in Irvine, Ca
founded by former Microsoft
leaders.
Neudesic has 13 locations in the US and 4 India based
development centers that offers a broad range of strategic
and technology services
GLOBAL TEAM
Partners and Awards
Deep Technical Partnership
Microsoft Awards
2017 National Solution Partner
2017 Country Partner of the year-US
2017 Clouds Apps Global Partner of the year
Targets For Data-Driven Decisions
Understand Customers,
Markets & Competitors
Refine Operations
& Processes
Improve or Create
Business Models
What happened?
D I F F I C U L T Y
VALUE
D E S C R I P T I V E
A N A L Y T I C S
D I A G N O S T I C
A N A L Y T I C S
P R E D I C T I V E
A N A L Y T I C S
Why did it happen?
What will happen?
How can we make it
happen?
P R E S C R I P T I V E
A N A L Y T I C S
H I N D S I G N T
I N S I G H T
F O R E S I G H T
Advanced Analytics
Traditional BI
Data Marts/Reports EDW/Dashboard Data Lakes
Data Siloes Data Governance/MDM Data Drift/Data Swamp
The march towards advanced analytics
Why does it take so long to add a data sources?
How should I prioritize new data sources?
I’ve got mountains of data now, how can I make sense
of it all?
Accelerating time-to-value through Data Virtualizatiuon
Taming the explosion of data sources and formats
Enabling Governance and MDM
Challenges of current data
environment
Design: Base
Derived Views
Code: Base
Derived Views
Optimize
Faster development time
Turbocharge integration of new
data sources
Accelerate report and dashboard
delivery
Adding a data source:
The traditional way vs. The data virtualization way
Design: ETL
Source/Staging
Design: ETL
Target
Code: ETL
Data Flow
Optimize Data
Flow
Test: ETL Data
Flow
TRADITIONAL
DATA VIRTUALIZATION – 1/3 OF THE TIME
Challenges
• New Data formats
• Data Drift
• Data Swamp
Solutions
• Single point of data access
over n data sources
• Leave the data where it is
• Harvest the swamp!
Proliferation of complex data
sources
Challenges
• Single purpose data flows
• What is a customer?
• Data quality
Solutions
• DV as an aid to Data
Governance
• DV as an aid to MDM
• DV as an aid to Data Quality
Taming the modern analytic platform
Web
DB
DB
Data Mart
Business Users
Dashboard
Consumers
Data Mart
Business Users
Report
Data
Warehouse
Employees
Mobile
App
IoT Device
Data Lake
MODERN REALITY
Web
DB
DB
Data Mart
Business Users
Dashboard
Consumers
Data Mart
Business Users
Report
Data
Warehouse
Employees
THE GOOD OL’ DAYS
Denodo Reference Architecture Diagram
Agile BI
Data
warehousing
Enterprise
Apps
Data
visualization
Data
Virtualization
Data
warehousing
Enterprise
Apps
Data
visualization
Data
Virtualization
Data
warehousing
Enterprise
Apps
Data
visualization
Data
Virtualization
Data Virtualization
Big Data
Data
warehousing
Data
Virtualization
Data
visualization
Big Data
Data
warehousing
Data
Virtualization
Data
visualization
Big Data
Data
warehousing
Data
Virtualization
Data
visualization
Big Data
Hybrid Data Warehouse
Big Data
Analytics Sandbox
Data
warehousing Data
Virtualization
Data
visualization
Data LakesData Lakes
Data
warehousing Data
Virtualization
Data
visualization
Data Lakes
Data
warehousing Data
Virtualization
Data
visualization
Data Lakes
Data
warehousing Data
Virtualization
Data
visualization
Data Lakes
Big Data
Logical Data Lake
Data
warehousing
Data
Virtualization
Data
visualization
Data Lakes
Big Data
Data
warehousing
Data
Virtualization
Data
visualization
Data Lakes
Big Data
Data
warehousing
Data
Virtualization
Data
visualization
Data Lakes
Big Data
Data
warehousing
Data
Virtualization
Data
visualization
Data Lakes
Big Data
Enterprise Integration & MDM
Data Services
Internal
Enterprise
Apps
Partner
Enterprise
Apps
Data
Virtualization
Data
visualization
Partner Apps
Internal
Apps
Web App
Web App
Cloud
apps
Mobile
App
Internal
Enterprise
Apps
Partner
Enterprise
Apps
Data
Virtualization
Data
visualization
Partner Apps
Internal
Apps
Web App
Web App
Cloud
apps
Mobile
App
Internal
nterprise
Apps
Partner
nterprise
Apps
Data
Virtualization
Data
visualization
Partner Apps
Internal
Apps
Web App
Cloud
appsMobile
App
Web App
Cloud
apps
Mobile
App
Enterprise Integration & MDM
MDM
Single view
of Customer
Enterprise
Apps
Social Media
& Public
Data Internal
Apps
Data
visualization
Customer
Orders
Support
SocialMedia/
Reviews
Web
Mobile
Retail
Web App
Cloud
apps
Mobile
App
Single view
of Customer
Enterprise
Apps
Social Media
& Public
Data Internal
Apps
Data
visualization
Customer
Orders
Support
SocialMedia/
Reviews
Web
Mobile
Retail
Web App
Cloud
apps
Mobile
App
Single view
of Customer
Enterprise
Apps
Social Media
& Public
Data Internal
Apps
Data
visualization
Customer
Orders
Support
SocialMedia/
Reviews
Web
Mobile
Retail
Web App
Cloud
apps
Mobile
App
Gaming and Entertainment
Leader
• Manage Transition from old to new internal applications
• Drive a common integration layer to define canonical
business entities across old and new.
• Expose canonical entities to other internal applications
• Denodo and MDM
• Data as a service
Product Demonstration
21
Senior Sales Engineer, Denodo
Michael Dickson
22
Demo Architecture
What’s the impact of a new
marketing campaign for each
country?
▪ Historical sales data offloaded
to Hadoop cluster for cheaper
storage
▪ Marketing campaigns managed
in an external cloud app
▪ Country is part of the customer
details table, stored in the DW Sources
Combine,
Transfor
m
&
Integrate
Consume
Base View
Source
Abstraction
join
group by
state
join
Sales Campaign Customer
Demo
23
Key Takeaways
24
Why data virtualization should be part of your
Advanced Analytics Toolset?
Key Takeaways
• Remember that denodo can shave
2/3 off of your data movement
projects.
• 90% of data consumers only want to
see current data.
• Neudesic is in the field every day
seeing opportunities in which data
virtualization is the right choice.
Denodo and Neudesic
accelerate your digital
transformation
• Denodo excels in operational
use cases, think of MDM or
data-as-a-service.
• Denodo also excels in big
data, data warehousing, and
in feeding machine learning
and AI models.
Denodo is
Versatile
• Neudesic is a thought leader in
Advanced Analytics and a partner to
the superstars across the technology
landscape.
• Neudesic’s best-fit engineering
approach towards Advanced.
You need a partner on your
journey towards advanced
analytics
Q&A
27
Next Steps
Access Denodo Platform in the Cloud!
Take a Test Drive today!
www.denodo.com/TestDrive
GET STARTED TODAY
Deeper Learning
Neudesic.com/aaebookVision.neudesic.com
Next session
Stay Ahead of the Pack with Data
Virtualization in the Cloud
Thursday, November 15, 2018 | 11:00 AM PT / 2:00 PM ET
Mitesh Shah
Sr. Cloud Product Manager, Denodo
Thank you!
© 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.

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Innovative Data Strategies for Advanced Analytics Solutions and the Role of Data Virtualization

  • 1. DATA VIRTUALIZATION PACKED LUNCH WEBINAR SERIES Sessions Covering Key Data Integration Challenges Solved with Data Virtualization
  • 2. Innovative Data Strategies for Advanced Analytics Solutions and the Role of Data Virtualization Michael Dickson Senior Sales Engineer, Denodo Lorrin Ferdinand Sr. Consultant, Denodo
  • 3. Innovative Data Strategies for Advanced Analytics Solutions and the role of Data Virtualization
  • 4. Agenda Denodo offers a versatile data virtualiztion plaform that can be applied to a broad range of data management challenges. As a Denodo gold partner, Neudesic offers an equally broad range of data management services through its Predictive Enterprise Service Line including expertise on data virtualization using Denodo. Benefits of Data Virtualization with Denodo Architecture Patterns for Data Virtualization Case Study Demo
  • 5. About Neudesic Founded in 2002 Privately held firm headquartered in Irvine, Ca founded by former Microsoft leaders. Neudesic has 13 locations in the US and 4 India based development centers that offers a broad range of strategic and technology services GLOBAL TEAM
  • 6. Partners and Awards Deep Technical Partnership Microsoft Awards 2017 National Solution Partner 2017 Country Partner of the year-US 2017 Clouds Apps Global Partner of the year
  • 7. Targets For Data-Driven Decisions Understand Customers, Markets & Competitors Refine Operations & Processes Improve or Create Business Models
  • 8. What happened? D I F F I C U L T Y VALUE D E S C R I P T I V E A N A L Y T I C S D I A G N O S T I C A N A L Y T I C S P R E D I C T I V E A N A L Y T I C S Why did it happen? What will happen? How can we make it happen? P R E S C R I P T I V E A N A L Y T I C S H I N D S I G N T I N S I G H T F O R E S I G H T Advanced Analytics Traditional BI Data Marts/Reports EDW/Dashboard Data Lakes Data Siloes Data Governance/MDM Data Drift/Data Swamp The march towards advanced analytics
  • 9. Why does it take so long to add a data sources? How should I prioritize new data sources? I’ve got mountains of data now, how can I make sense of it all? Accelerating time-to-value through Data Virtualizatiuon Taming the explosion of data sources and formats Enabling Governance and MDM Challenges of current data environment
  • 10. Design: Base Derived Views Code: Base Derived Views Optimize Faster development time Turbocharge integration of new data sources Accelerate report and dashboard delivery Adding a data source: The traditional way vs. The data virtualization way Design: ETL Source/Staging Design: ETL Target Code: ETL Data Flow Optimize Data Flow Test: ETL Data Flow TRADITIONAL DATA VIRTUALIZATION – 1/3 OF THE TIME
  • 11. Challenges • New Data formats • Data Drift • Data Swamp Solutions • Single point of data access over n data sources • Leave the data where it is • Harvest the swamp! Proliferation of complex data sources
  • 12. Challenges • Single purpose data flows • What is a customer? • Data quality Solutions • DV as an aid to Data Governance • DV as an aid to MDM • DV as an aid to Data Quality Taming the modern analytic platform Web DB DB Data Mart Business Users Dashboard Consumers Data Mart Business Users Report Data Warehouse Employees Mobile App IoT Device Data Lake MODERN REALITY Web DB DB Data Mart Business Users Dashboard Consumers Data Mart Business Users Report Data Warehouse Employees THE GOOD OL’ DAYS
  • 15. Big Data Data warehousing Data Virtualization Data visualization Big Data Data warehousing Data Virtualization Data visualization Big Data Data warehousing Data Virtualization Data visualization Big Data Hybrid Data Warehouse
  • 16. Big Data Analytics Sandbox Data warehousing Data Virtualization Data visualization Data LakesData Lakes Data warehousing Data Virtualization Data visualization Data Lakes Data warehousing Data Virtualization Data visualization Data Lakes Data warehousing Data Virtualization Data visualization Data Lakes
  • 17. Big Data Logical Data Lake Data warehousing Data Virtualization Data visualization Data Lakes Big Data Data warehousing Data Virtualization Data visualization Data Lakes Big Data Data warehousing Data Virtualization Data visualization Data Lakes Big Data Data warehousing Data Virtualization Data visualization Data Lakes Big Data
  • 18. Enterprise Integration & MDM Data Services Internal Enterprise Apps Partner Enterprise Apps Data Virtualization Data visualization Partner Apps Internal Apps Web App Web App Cloud apps Mobile App Internal Enterprise Apps Partner Enterprise Apps Data Virtualization Data visualization Partner Apps Internal Apps Web App Web App Cloud apps Mobile App Internal nterprise Apps Partner nterprise Apps Data Virtualization Data visualization Partner Apps Internal Apps Web App Cloud appsMobile App Web App Cloud apps Mobile App
  • 19. Enterprise Integration & MDM MDM Single view of Customer Enterprise Apps Social Media & Public Data Internal Apps Data visualization Customer Orders Support SocialMedia/ Reviews Web Mobile Retail Web App Cloud apps Mobile App Single view of Customer Enterprise Apps Social Media & Public Data Internal Apps Data visualization Customer Orders Support SocialMedia/ Reviews Web Mobile Retail Web App Cloud apps Mobile App Single view of Customer Enterprise Apps Social Media & Public Data Internal Apps Data visualization Customer Orders Support SocialMedia/ Reviews Web Mobile Retail Web App Cloud apps Mobile App
  • 20. Gaming and Entertainment Leader • Manage Transition from old to new internal applications • Drive a common integration layer to define canonical business entities across old and new. • Expose canonical entities to other internal applications • Denodo and MDM • Data as a service
  • 21. Product Demonstration 21 Senior Sales Engineer, Denodo Michael Dickson
  • 22. 22 Demo Architecture What’s the impact of a new marketing campaign for each country? ▪ Historical sales data offloaded to Hadoop cluster for cheaper storage ▪ Marketing campaigns managed in an external cloud app ▪ Country is part of the customer details table, stored in the DW Sources Combine, Transfor m & Integrate Consume Base View Source Abstraction join group by state join Sales Campaign Customer
  • 25. Why data virtualization should be part of your Advanced Analytics Toolset? Key Takeaways • Remember that denodo can shave 2/3 off of your data movement projects. • 90% of data consumers only want to see current data. • Neudesic is in the field every day seeing opportunities in which data virtualization is the right choice. Denodo and Neudesic accelerate your digital transformation • Denodo excels in operational use cases, think of MDM or data-as-a-service. • Denodo also excels in big data, data warehousing, and in feeding machine learning and AI models. Denodo is Versatile • Neudesic is a thought leader in Advanced Analytics and a partner to the superstars across the technology landscape. • Neudesic’s best-fit engineering approach towards Advanced. You need a partner on your journey towards advanced analytics
  • 26. Q&A
  • 27. 27 Next Steps Access Denodo Platform in the Cloud! Take a Test Drive today! www.denodo.com/TestDrive GET STARTED TODAY
  • 29. Next session Stay Ahead of the Pack with Data Virtualization in the Cloud Thursday, November 15, 2018 | 11:00 AM PT / 2:00 PM ET Mitesh Shah Sr. Cloud Product Manager, Denodo
  • 30. Thank you! © 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.