Gartner Research

Solution Path for Planning and Implementing the Logical Data Warehouse

Published: 17 May 2017

ID: G00320563

Analyst(s): Henry Cook


Technical professionals implementing the logical data warehouse can maximize their effectiveness and the business benefit delivered by explicitly integrating three analytics development styles: the classic data warehouse, agile with data virtualization, and the data lake.

Table Of Contents

Problem Statement

Solution Path Diagram

What You Need to Know

Solution Path

  • Step 1: Initiate Phase or Project
    • Planning
    • Platform Sizing and Cost Estimation
    • Establish Architectural Principles
  • Step 2/DW: Data Warehouse Stream
    • Design the Architecture and Then the Physical System
    • Document "As Is" System
    • Design To-Be Architecture
    • Data Modelling and Metadata
    • Develop the Data Model
    • Assess Data Warehouse Automation
    • Evaluate a Cloud-First Approach
    • Evaluate Open-Source Software
    • Metadata: Business Glossary and Technical Metadata
    • Put Data Quality Measures in Place
    • Information Governance
    • Formalize MDM for Critical Business Data
    • Automate DW Testing
    • Data Ingest Design
    • Migration vs. Greenfield
    • Report Suite Design
    • Establish or Grow DW Platform
    • Develop and Deploy the DW
    • The Initial Load Strategy
  • Step 2/DV: Data Virtualization, Agile Development and Self-Service Stream
    • Agile Data Marts and Sandboxes
    • Data Virtualization
    • Forward Planning for Virtualization
    • Establish or Grow Agile and Self-Service Platforms
  • Step 2/DL: Data Lake Stream
    • Design the Data Lake Architecture
    • Data Acquisition
    • Discovery and Development of Insight
    • Data Lake Optimization and Governance
    • Data Lake Analytics Consumption
    • Provision the Data Lake
    • Secure the Data Lake
    • Cloud Adoption
  • Step 3: Wrap Up the Development Cycle
    • Change Control
    • Monitoring and Administration
    • Capacity Planning and Workload Management
    • Evaluate New Technology Options for the Next Cycle
  • Summary, Matching Requirements in Development Cycles
  • Detailed Descriptions of the LDW Components
  • Details on Requirements-Gathering and Business Case
    • Gather and Prioritize Requirements
    • Align Business Strategy
    • Form the IT and Business Team
    • Develop or Firm Up the Business Case
    • Project or Phase Initiation and Kick-Off Workshop

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