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Fundamentals of Data Engineering Plan and Build Robust Data Systems

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Fundamentals of Data Engineering Plan and Build Robust Data Systems

Sách keo gáy, Bìa mềm
 
 
Thể loại:Computers - Other
 
Năm:2022
 
In lần thứ:converted pdf
 
Ngôn ngữ:english
 
Trang:544
 
 
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 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 will 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