Watch full webinar here: https://bit.ly/3m99lpl What makes data scientists happy? Of course, data. They want it fast and flexible, and they want to do it themselves. But most classic data warehouses (DW) and data lakes are not easy to deal with for agile data access. A more practical solution is the logical data warehouse (LDW), which has shown to be a more agile foundation for delivering and transforming data and makes it easy to quickly plug in new data sources. Watch on-demand this webinar to learn: - How easily new data sources can be made available for analytics and data science - How your organization can successfully migrate to a flexible LDW architecture in a step-by-step fashion - How LDWs help integrate self-service analytics with classic forms of business intelligence

1. DATA VIRTUALIZATION
APAC WEBINAR SERIES
Sessions Covering Key Data
Integration Challenges Solved
with Data Virtualization

2. Enabling Self-Service Analytics with
the Logical Data Warehouse
Chris Day
Director, APAC Sales Engineering, Denodo
Sushant Kumar
Product Marketing Manager, Denodo

3. Reporting
Analytics
Data
Sources
ETL
Staging
Area
ETL
Core
DWH
ETL
Data
Marts
Data Analytics – The way we did it 25 years ago

4. Logical Architecture – Path to the Future
Stop collecting, Start connecting

5. Gartner’s Logical Data Warehouse Architecture

6. Data Virtualization Architecture

7. 7
Source: DAMA Data Management Book of Knowledge (DMBOK), 2nd Edition
Data Virtualization enables distributed databases, as well as
multiple heterogeneous data stores, to be accessed and viewed
as a single database. Rather than physically performing ETL on
data with transformation engines, Data Virtualization servers
perform data extract, transform and integrate virtually.

8. Raw
Data
Zone
Staging
Area
Curated
Data
Zone
Core
DWH
model
Data Warehouse
Data Lake
Data Virtualization Platform
Cloud Views
Hybrid Views
DWH Views
Analytical Views
Data Science Views
λ Views
Real-Time Views
Universal
Catalog
of
Data
Services
Centralized
Access
Control
Data Science
AI
ML
Applications
Real-Time
Steams
Traditional
Data
Sources
Cloud
Logical Data Warehouse
Logical Data Warehouse Reference Architecture

9. Customer Story - Autodesk

10. The Autodesk Story
• Founded 1982 (NASDAQ: ASDK)
• Annual revenues (FY 2018) $2.06B
§ Over 8,800 employees
• 3D modeling and animation software
§ Flagship product is AutoCAD
• Market sectors:
§ Architecture, Engineering, and Construction
§ Manufacturing
§ Media and Entertainment
§ Recently started 3D Printing offerings

11. Business Drivers for Change
• Software consumption model is changing
§ Perpetual licenses to subscriptions
§ User want more flexibility in how they use software
• Autodesk needed to transition to subscription pricing
§ Some products are subscription only
• Lifetime revenue higher with subscriptions
§ Over 3-5 years, subscriptions = more revenues
• Changing a licensing model is disruptive

12. Technology Challenges
• Current ‘traditional’ BI/EDW architecture not designed
for data streams from online apps
§ Weblogs, Clickstreams, Cloud/Desktop apps, etc.
• Existing infrastructure can’t simply ‘go away’
§ Regulatory reporting (e.g. SEC)
§ Existing ‘perpetual’ customers
• ‘Subscription’ infrastructure work in parallel
§ Extend and enhance existing systems
§ With single access point to all data
• Solution – ‘Logical Data Warehouse’

13. Raw
Data
Zone
Staging
Area
Curated
Data
Zone
Core
DWH
model
Data Warehouse
Data Lake
Data Virtualization Platform
Cloud Views
Hybrid Views
DWH Views
Analytical Views
Data Science Views
λ Views
Real-Time Views
Universal
Catalog
of
Data
Services
Centralized
Access
Control
Real-Time
Steams
Traditional
Data
Sources
Logical Data Warehouse
Autodesk Solution Architecture

14. Key Takeaways
• Analytics in a Modern Data Architecture means more than
just the Enterprise Data Warehouse – there will be other data
repositories and analytical engines.
• A Logical Data Warehouse allows users to access any of the
data in your analytics environment – seemingly from a single
(virtual) repository.
• A Logical Data Warehouse provides a flexible and extensible
modern data architecture which can adapt to new data
technologies and tools without unduly impacting the users.

15. Next Steps

16. 16
denodo.link/testdrive21

17. Bringing a Real-Time Flavor to Your
Enterprise Analytics
Katrina Briedis
Sales Engineering, Denodo
Sushant Kumar
Product Marketing Manager, Denodo
REGISTER NOW
denodo.link/wb2106
Next session | 15 July | 8.30am IST / 11.00am SGT / 1.00pm AEST

18. 18
TDWI Checklist Report
Delivering Faster Insights:
The Hybrid Cloud Data Warehouse
Access Report:
denodo.link/cdw21

19. Thanks!
www.denodo.com info@denodo.com
© 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.