Watch full webinar here: https://bit.ly/37KVoVs According to a leading analyst firm, in 2019 the total spend in data and analytics was close to $104 billion! That number is expected to grow even more in 2020. Companies are investing in data warehouse modernization and data lake projects for descriptive and advanced analytics; however, for the analysis to be holistic, today’s architects weave disparate data streams together, not only from these analytical sources, but also from operational, third party, and streaming data sources. Logical data warehouse is a modern architectural methodology that virtually combines all the data across the enterprise and makes it available to analytical and visualization tools that facilitate timely, insightful, and impactful decisions throughout the enterprise. In this session, you will learn: - What is logical data warehouse and how to architect one - The benefits of logical data warehouse – speed with agility

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

2. Logical Data Warehouse: The Foundation of
Modern Data and Analytics
Chris Day
Principal Sales Engineer, Denodo
Sushant Kumar
Product Marketing Manager, Denodo

3. Agenda
1. Logical Data Warehouse: The Foundation of Modern Data and Analytics
2. Product Demo
3. Q&A
4. Next Steps

4. Logical Data Warehouse: The
Foundation of Modern Data and
Analytics
4
Product Marketing Manager, Denodo
Sushant Kumar

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6. 6
Autodesk – Logical Data Warehouse AUTODESK
2017 CIO 100
Award
AUTODESK
FINALIST in 2017
Excellence Awards

7. 6
The Evolution to Logical Data Warehouse

8. 7
Why a Logical Data Warehouse is Needed?
• The analytical technology landscape has shifted over time.
• You need a flexible architecture that will allow you to embrace those shifts rather
than tie you down to a monolithic approach.
• Only a logical architecture will easily accommodate such changes, and not a
physical architecture.
• IT should be able to adopt newer technologies without impacting business users.

9. Logical Data Warehouse Architecture
8
EDW Hadoop
Cluster
Sales
HDFS
Files
Document
Collections
NoSQL
Database
ERP
Database Excel
Data Virtualization Layer

10. 10
LogicalDataWarehousing:SixScenarios
LDW
PATTERNS
VIRTUAL
DATAMART
DATA
WAREHOUSE
+MDM
DATA
WAREHOUSE
+CLOUD
DATA
WAREHOUSE
+DATA
WAREHOUSE
DATA
WAREHOUSE
HISTORICAL
OFFLOADING
SLIM DATA
WAREHOUSE
EXTENSION
Data Warehouse extended
with Master Data
Data Warehouse extended
with Cloud Data
Multiple sources integrated to create
business friendly Data Model
Data Warehouse vertical
partitioning with rarely used
data in cheaper storage
Data Warehouse horizontal
partitioning with historical data
in cheaper storage
Integration of multiple Data
Warehouses

11. 11
• Maintainingseparatesystemsforsuchfunctionsas
backofficeoperations,datawarehousing,andloan
origination
• Seriesofmergersandacquisitionswereaddingto
thecomplexity.
• Adhoc,manualreportingprocess
Customer story - Seacoast Bank

12. 12
Solution
Business Gains
• DepositandLoanOperations,tomake
timely,accuratedecisions.
• Meettheoperationalandanalytical
needsofmultiplebusinessunits within
theorganization.
• Reducereportingtimefromupto3days
forstaticreportstoas littleas2hours
• Performcriticalbusiness
operations,suchasloan
processing,inreal time.

13. 13
MarkBlanchette,VP and director of Business Technology and Data Management at
Seacoast Bank
Denodo’sdatavirtualization technologyhasplayedthemostimportantrole
inenablingourbusinessusers togarnervaluableinformationthroughself-
servicereporting.TheDenodoPlatform’scapabilityhassignificantly
increased thespeed atwhichbusinessiscarriedoutatSeacoastBank.

14. 9
Benefits of Logical Data Warehouse
• Logical Data Warehouse is a modern data architecture, not a product.
• It fulfills the data warehouse mission — the ability to perform analysis from all
enterprise data.
• It democratizes the consumption of analytical data – business users can use any
reporting tool.
• Universal Semantic Layer – centralize common business definitions in the data
virtualization layer and avoid replicating it in each reporting tool.
The LDW future-proofs for your analytics systems

15. Product Demonstration
15
Principal Sales Engineer, Denodo
Chris Day

17. Next steps

18. 18
Next Steps
Access Denodo Platform in the Cloud!
Take a Test Drive today!
https://bit.ly/2AouQLQ
GET STARTED TODAY

19. Next session
Logical Data Lakes: From Single Purpose
to Multipurpose Data Lakes
Sushant Kumar
Product Marketing Manager, Denodo
Chris Day
Principal Sales Engineer, Denodo

20. Thanks!
www.denodo.com info@denodo.com
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