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Fundamentals of Data Engineering : Plan and Build Robust Data Systems by Joe Reis and Matt Housley (2022, Trade Paperback)
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About this product
Product Identifiers
PublisherO'reilly Media, Incorporated
ISBN-101098108302
ISBN-139781098108304
eBay Product ID (ePID)17057251431
Product Key Features
Number of Pages447 Pages
LanguageEnglish
Publication NameFundamentals of Data Engineering : Plan and Build Robust Data Systems
SubjectData Modeling & Design, Desktop Applications / Databases, Data Processing, Databases / Data Mining
Publication Year2022
TypeTextbook
AuthorJoe Reis, Matt Housley
Subject AreaComputers
FormatTrade Paperback
Dimensions
Item Height1.2 in
Item Weight27.2 Oz
Item Length9.1 in
Item Width7 in
Additional Product Features
LCCN2023-275148
Dewey Edition23
IllustratedYes
Dewey Decimal005.743
SynopsisData engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Assess data engineering problems using an end-to-end data framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle, Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology. This book will help you: Get a concise overview of the entire data engineering landscape Assess data engineering problems using an end-to-end framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle
LC Classification NumberQA76.9
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