Cover image for Data Fabric as Modern Data Architecture

Data Fabric as Modern Data Architecture

Release Date: 2021/06/01
ISBN: 9781098105952
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Data fabric is a hot concept in data management today. By encompassing the data ecosystem your company already has in place, this architectural design pattern provides your staff with one reliable place to go for data. In this report, author Alice LaPlante shows CIOs, CDOs, and CAOs how data fabric enables their users to spend more time analyzing than wrangling data.

The best way to thrive during this intense period of digital transformation is through data. But after roaring through 2019, progress on getting the most out of data investments has lost steam. Only 38% of companies now say they've created a data-driven organization. This report describes how a data fabric can help you reach the all-important goal of data democratization.

  • Learn how data fabric handles data prep, data delivery, and serves as a data catalog
  • Use data fabric to handle data variety, a top challenge for many organizations
  • Learn how data fabric spans any environment to support data for users and use cases from any source
  • Examine data fabric's capabilities including data and metadata management, data quality, integration, analytics, visualization, and governance
  • Get five pieces of advice for getting started with data fabric

Table of Contents

  1. Introduction
    1. A Changing World That Needs Data Democratization
    2. Opportunities Abound—with the Help of a Data Fabric
  2. 1. Why Build a Data Fabric?
    1. The Limits of Existing Data Architectures
    2. What Success Looks Like
  3. 2. What Is a Data Fabric?
    1. The Architectural Pattern of a Data Fabric
    2. Building a Data Fabric Is a Journey
  4. 3. How to Get Started
    1. Five Pieces of Advice for Getting Started on a Data Fabric
    2. One: Virtualize, Don’t Centralize, Your Data
    3. Two: Build an Intelligent Data Fabric by Integrating AI into It
    4. Three: Automate Virtualization of Your Streaming Data
    5. Four: Create a Data-As-A-Service Offering for Your Users
    6. Five: Create and Nurture a “Data Curation” Culture
    7. Best Practices When Managing and Growing Your Data Fabric
    8. Embrace Technology Evolution and Convergence
    9. Make Sure Your Data Fabric Is Truly Holistic
    10. Support Today’s Distributed Data Analytics Topology
    11. Augment Your People Using AI and ML
    12. Keep It Open and Flexible
    13. Design It for Easy Decoupling and Layering
    14. Migrate Intelligently
    15. Don’t Over-Innovate
    16. Keep Your Processes Standard
    17. Conclusion: It’s Time to Act
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