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Fundamentals of Data Engineering : Plan and Build Robust Data Systems, Paperb...

Description: Fundamentals of Data Engineering : Plan and Build Robust Data Systems, Paperback by Reis, Joe; Housley, Matt, ISBN 1098108302, ISBN-13 9781098108304, Brand New, Free shipping in the US 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 landscapeAssess data engineering problems using an end-to-end data framework of best practicesCut through marketing hype when choosing data technologies, architecture, and processesUse the data engineering lifecycle to design and build a robust architectureIncorporate data governance and security across the data engineering lifecycle

Price: 58.16 USD

Location: Jessup, Maryland

End Time: 2024-12-03T14:27:32.000Z

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Fundamentals of Data Engineering : Plan and Build Robust Data Systems, Paperb...

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Book Title: Fundamentals of Data Engineering : Plan and Build Robust Data Sys

Number of Pages: 447 Pages

Publication Name: Fundamentals of Data Engineering : Plan and Build Robust Data Systems

Language: English

Publisher: O'reilly Media, Incorporated

Publication Year: 2022

Item Height: 1.2 in

Subject: Data Modeling & Design, Desktop Applications / Databases, Data Processing, Databases / Data Mining

Type: Textbook

Item Weight: 27.2 Oz

Item Length: 9.1 in

Subject Area: Computers

Author: Joe Reis, Matt Housley

Item Width: 7 in

Format: Trade Paperback

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