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Data Lake Development with Big Data
最新章節:
Index
Thisbookisforarchitectsandseniormanagerswhoareresponsibleforbuildingastrategyaroundtheircurrentdataarchitecture,helpingthemidentifytheneedforaDataLakeimplementationinanenterprisecontext.Thereaderwillneedagoodknowledgeofmasterdatamanagementandinformationlifecyclemanagement,andexperienceofBigDatatechnologies.
目錄(46章)
倒序
- 封面
- 版權頁
- Credits
- About the Authors
- Acknowledgement
- About the Reviewer
- www.PacktPub.com
- Support files eBooks discount offers and more
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. The Need for Data Lake
- Before the Data Lake
- Need for Data Lake
- Defining Data Lake
- Key benefits of Data Lake
- Challenges in implementing a Data Lake
- When to go for a Data Lake implementation
- Data Lake architecture
- Summary
- Chapter 2. Data Intake
- Understanding Intake tier zones
- Architectural guidance
- Summary
- Chapter 3. Data Integration Quality and Enrichment
- Introduction to the Data Management Tier
- Understanding Data Integration
- Big Data tools and technologies
- Summary
- Chapter 4. Data Discovery and Consumption
- Understanding the Data Consumption tier
- Data Discovery and metadata
- Data Provisioning and metadata
- Architectural guidance
- Summary
- Chapter 5. Data Governance
- Understanding Data Governance
- Data Governance components
- Architectural guidance
- The current and future trends
- Summary
- Index 更新時間:2021-07-30 10:24:38
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