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LEADER 00000cam a22006017i 4500
003 OCoLC
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006 m o d
007 cr cnu|||unuuu
008 230425s2023 enka o 001 0 eng d
019 1375550348|a1376194308
020 1804613096|q(electronic bk.)
020 9781804613092|q(electronic bk.)
029 1 AU@|b000074400877
035 (OCoLC)1377287914|z(OCoLC)1375550348|z(OCoLC)1376194308
037 9781804615225|bO'Reilly Media
037 10251203|bIEEE
040 ORMDA|beng|erda|epn|cORMDA|dYDX|dEBLCP|dUKAHL|dOCLCF
|dOCLCQ|dIEEEE|dOCLCO
049 INap
082 04 658.4/038
082 04 658.4/038|223/eng/20230425
099 eBook O'Reilly for Public Libraries
100 1 Mezzetta, Sonia,|eauthor.
245 10 Principles of data fabric :|bbecome a data-driven
organization by implementing data fabric solutions
efficiently /|cSonia Mezzetta.|h[O'Reilly electronic
resources]
250 1st edition.
264 1 Birmingham, UK :|bPackt Publishing Ltd.,|c2023.
300 1 online resource (188 pages) :|billustrations
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
500 Includes index.
505 0 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
505 8 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
505 8 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
505 8 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
505 8 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
520 Data can be found everywhere, from cloud environments and
relational and non-relational databases to data lakes,
data warehouses, and data lakehouses. Data management
practices can be standardized across the cloud, on-
premises, and edge devices with Data Fabric, a powerful
architecture that creates a unified view of data. This
book will enable you to design a Data Fabric solution by
addressing all the key aspects that need to be considered.
The book begins by introducing you to Data Fabric
architecture, why you need them, and how they relate to
other strategic data management frameworks. You'll then
quickly progress to grasping the principles of DataOps, an
operational model for Data Fabric architecture. The next
set of chapters will show you how to combine Data Fabric
with DataOps and Data Mesh and how they work together by
making the most out of it. After that, you'll discover how
to design Data Integration, Data Governance, and Self-
Service analytics architecture. The book ends with
technical architecture to implement distributed data
management and regulatory compliance, followed by industry
best practices and principles. By the end of this data
book, you will have a clear understanding of what Data
Fabric is and what the architecture looks like, along with
the level of effort that goes into designing a Data Fabric
solution.
590 O'Reilly|bO'Reilly Online Learning: Academic/Public
Library Edition
650 0 Data integration (Computer science)
650 0 Big data.
650 0 Database management.
650 6 Intégration de données (Informatique)
650 6 Données volumineuses.
650 6 Bases de données|xGestion.
650 7 Big data|2fast
650 7 Data integration (Computer science)|2fast
650 7 Database management|2fast
776 08 |iPrint version:|aMezzetta, Sonia|tPrinciples of Data
Fabric|dBirmingham : Packt Publishing, Limited,c2023
|z9781804615225
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
learning.oreilly.com/library/view/~/9781804615225/?ar
|zAvailable on O'Reilly for Public Libraries
938 Askews and Holts Library Services|bASKH|nAH41333148
938 YBP Library Services|bYANK|n19686303
938 ProQuest Ebook Central|bEBLB|nEBL30475910
994 92|bJFN