Building and Operating Data Hubs
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Building and Operating Data Hubs

Using a practical Framework as Toolset

About the Book

Building an Operating Data Hubs introduces a practical framework as Toolset. The book should help to get a clear picture of your Data Environment and the interlink between your Data Products, your Databases, Data Warehouses and all your structured and unstructured Data.

No matter if there are Data Science and Machine Learning Applications or just standard Reports coming out of your Data Environment, building and operating Data Hubs can be similar to building a house. You need a stable foundation, planning, versatile tools, a great team with specific skills, good building materials and a vision.

This Framework is developed for Managers, Teamleaders, Founders, Investors, Developers, Business Analysts, System Architects, Risk Analysts or people who have recently changed jobs in that field. It should help to reduce complexity to get a better understanding of your Data Cosmos and based on that to make better decisions.

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    • Software Architecture
    • Business Architecture
    • Startups
    • System Integration
    • Product Management
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    • Innovation Management
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The Book
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  • English

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The Book + Editable Framework Files

Start working now! This Package includes 2 framework files with no branding which can be opened and edited. framework_core.drawio contains a lightweight Overview of the Framework framework_Landscape.drawio contains the expanded hands-on Version Both files can be opened with


  • extras
    Framework Core and Framework Landscape as editable Diagrams

    The Framework Files are editable for your purpose and your Data Hub.

  • PDF

  • EPUB

  • WEB

  • English

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Table of Contents

  • Preface
  • Introduction
    • Why use a Framework?
    • Definition of a Data Hub
    • What do others say about Data Hubs - a List of Perspectives
  • I The Framework
    • Data Scope
    • Data Import Layer
    • Operations Layer
    • Presentation Layer
    • Data Hub Core
    • Data Product
  • II Operations
    • Monitoring:
    • Strategy
    • A Note on the Technical Setup
  • III User Journey
    • Persona and customer centric Approach
  • IV Framework Landscape
    • Building a Data Hub from the Scratch
  • V Risk Analysis
    • Critical Risks
    • A 2-step analysis of the risk profile of a Data Hub
    • Location of the identified risks
    • What to do in Case of Emergency
  • Using the Framework - an example
  • Appendix
    • Userful Links

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