Books+ Search Results
Principles of Data Fabric Become a Data-Driven Organization by Implementing Data Fabric Solutions Efficiently
Author
Title
Principles of Data Fabric [electronic resource] : Become a Data-Driven Organization by Implementing Data Fabric Solutions Efficiently.
ISBN
9781804613092
1804613096
Published
Birmingham : Packt Publishing, Limited, 2023.
Physical Description
1 online resource (188 p.)
Local Notes
Access is available to the Yale community.
Notes
Description based upon print version of record.
The Create phase
Access and use
Access restricted by licensing agreement.
Summary
Principles of Data Fabric presents an overview of what Data Fabric solutions are, the business value they offer, and how they address various data challenges to manage dispersed data and technologies. This book teaches you about distributed data architecture components and highlights key considerations needed to build or buy a Data Fabric solution.
Variant and related titles
O'Reilly Safari. OCLC KB.
Other formats
Print version: Mezzetta, Sonia Principles of Data Fabric Birmingham : Packt Publishing, Limited,c2023
Format
Books / Online
Language
English
Added to Catalog
May 01, 2023
Contents
Cover
Title Page
Copyright and Credits
Dedication
Contributors
Table of Contents
Preface
Part 1: The Building Blocks
Chapter 1: Introducing Data Fabric
What is Data Fabric?
What Data Fabric is
What Data Fabric is not
Why is Data Fabric important?
Drawbacks of centralized data management
Decentralized data management
Building Data Fabric architecture
Data Fabric building blocks
Data Fabric principles
The four Vs
Data Governance
Knowledge layer
Data Integration
Self-Service
Operational Data Governance models
Summary
Chapter 2: Show Me the Business Value
Digital transformation
Data monetization
Revenue
Cost savings
Data Fabric's value proposition
Trusting your decisions with governed data
Creating a unified view of your data with intelligent Data Integration
Gaining a competitive advantage with Self-Service
Data Fabric for large, medium, and small enterprises
Large enterprise organizations
Small and medium-sized businesses
Summary
Part 2: Complementary Data Management Approaches and Strategies
Chapter 3: Choosing between Data Fabric and Data Mesh
Introducing Data Mesh
Domain ownership
Data as a product
Self-Serve data platform
Federated computational governance
Comparing Data Fabric and Data Mesh
Objectives
Data Fabric and Data Mesh's friendship
How Data Fabric supports a federated-based organization
How Data Fabric manages data as a product
Self-Service data platform via a Data Fabric and Data Mesh architecture
Federated computational governance with Data Fabric
Summary
Chapter 4: Introducing DataOps
What is DataOps?
DataOps' principles
The evolution of DataOps
DataOps' dimensions
MLOps and AIOps depend on DataOps
DataOps' value
From traditional Data Quality to data observability
Data Fabric with DataOps
Develop
Orchestrate
Test
Deploy
Monitor
Summary
Chapter 5: Building a Data Strategy
Why create a data strategy?
A data maturity framework
A data maturity assessment
Creating a data strategy
Topics in a data strategy document
Creating a data strategy document
Data strategy implementation
Summary
Part 3: Designing and Realizing Data Fabric Architecture
Chapter 6: Designing a Data Fabric Architecture
Introduction to enterprise architecture
Types of enterprise architecture
Data Fabric principles
Data Fabric architecture principles
Data Fabric architecture layers
Data Governance
Data Integration
Self-Service
Summary
Chapter 7: Designing Data Governance
Data Governance architecture
Metadata-driven architecture
EDA
Metadata as a service
Metadata collection
Metadata integration
Metadata-based events
The Data Governance layer
Active metadata
Life cycle governance
Operational models
The Data Fabric's governance applied
Genre/Form
Electronic books.
Bookmark As
Citation
