Gartner Research

Adopt the Logical Data Warehouse Architecture to Meet Your Modern Analytical Needs

Published: 10 April 2018

ID: G00342254

Analyst(s): Henry Cook

Summary

The evolving nature of data in 2018 is forcing data management solutions for analytics (DMSA) architectures to evolve too. Technical professionals should adopt the logical data warehouse as the modern, "next-gen" data warehouse that uses a multiengine approach to fulfill conflicting demands.

Table Of Contents

Analysis

  • The Complementary DMSA Components of the LDW
  • LDW Service Levels: Compromise, Contender, Candidate
  • The Importance of Shared Data Access
  • The LDW: Repository Style or Component
    • Data Stores
  • The LDW: Data Virtualization Style or Component
    • Virtualization Data Sources
    • Data Virtualization Components
  • The LDW: Distributed Process Style or Component
    • DP Data Sources
    • Data Ingest and Integration
    • DP Style: The Data Lake
  • Common Components
    • Data Integration
    • Access Management and Delivery
    • Information Governance
  • Architectural Considerations
    • Placement of Data and Requirements
    • Deployment
    • The Role of Mart, Warehouse, Sandbox and Lake
    • Be Ready for LDW Workloads to Shift Over Time
  • Strengths
  • Weaknesses

Guidance

The Details

  • Case Study: Logitech
  • The Advancing Stages of LDW Adoption
    • Initiating: Build a Sound Data Platform
    • Intermediate: Evolve to the LDW
    • Advanced: Optimize the LDW to Support All Requirements
  • An Example of the LDW Applied to Healthcare

Gartner Recommended Reading

©2019 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates. This publication may not be reproduced or distributed in any form without Gartner’s prior written permission. It consists of the opinions of Gartner’s research organization, which should not be construed as statements of fact. While the information contained in this publication has been obtained from sources believed to be reliable, Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner research may address legal and financial issues, Gartner does not provide legal or investment advice and its research should not be construed or used as such. Your access and use of this publication are governed by Gartner’s Usage Policy. Gartner prides itself on its reputation for independence and objectivity. Its research is produced independently by its research organization without input or influence from any third party. For further information, see Guiding Principles on Independence and Objectivity.

Already have a Gartner Account?

Become a client

Learn how to access this content as a Gartner client.