海外直订Fundamentals of Data Engineering: Plan and Build Robust Data Systems 数据工程基础:计划和构建健壮的数据系统

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海外直订Fundamentals of Data Engineering: Plan and Build Robust Data Systems 数据工程基础:计划和构建健壮的数据系统

海外直订Fundamentals of Data Engineering: Plan and ...

$190.30

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商品详情

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

作者: Reis, Joe
出版社: O'Reilly Media (2022年07月25日)
页数: 446页
语种: 英语
ISBN: 9781098108304
条形码: 9781098108304
商品重量: 710.00g
商品尺寸: 23.34cm * 17.78cm * 2.31cm


编辑推荐

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


作者简介
Housley, Matt: - Matt Housley is a data engineering consultant and cloud specialist. After some early programming experience with Logo, Basic, and 6502 assembly, he completed a PhD in mathematics at the University of Utah. Matt then began working in data science, eventually specializing in cloud-based data engineering. He cofounded Ternary Data with Joe Reis, where he leverages his teaching experience to train future data engineers and advise teams on robust data architecture. Matt and Joe also pontificate on all things data on The Monday Morning Data Chat.

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