Logical Data Warehouse: The Foundation
of Modern Data and Analytics
Ravi Shankar
Senior Vice President and Chief Marketing Officer
3
4
Autodesk – Logical Data Warehouse AUTODESK
2017 CIO 100
Award
AUTODESK
FINALIST in 2017
Excellence Awards
5
The Evolution to Logical Data Warehouse
6
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.
Logical Data Warehouse Architecture
7
EDW Hadoop
Cluster
Sales
HDFS
Files
Document
Collections
NoSQL
Database
ERP
Database Excel
Data Virtualization Layer
8
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
© 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.

Logical Data Warehouse: The Foundation of Modern Data and Analytics

  • 2.
    Logical Data Warehouse:The Foundation of Modern Data and Analytics Ravi Shankar Senior Vice President and Chief Marketing Officer
  • 3.
  • 4.
    4 Autodesk – LogicalData Warehouse AUTODESK 2017 CIO 100 Award AUTODESK FINALIST in 2017 Excellence Awards
  • 5.
    5 The Evolution toLogical Data Warehouse
  • 6.
    6 Why a LogicalData 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.
  • 7.
    Logical Data WarehouseArchitecture 7 EDW Hadoop Cluster Sales HDFS Files Document Collections NoSQL Database ERP Database Excel Data Virtualization Layer
  • 8.
    8 Benefits of LogicalData 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
  • 9.
    © Copyright DenodoTechnologies. 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.