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Fundamentals of Data Engineering Plan a Joe Reis Paperback

Description: Title: Fundamentals of Data Engineering: Plan and Build Robust Data Systems Author: Reis, Joe Publisher: O'Reilly Media Binding: Paperback Pages: 447 Dimensions: 9.19h x 7.00w x 0.91d Product Weight: 1.57 lbs. Language: English ISBN: 9781098108304 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   Ships Fast From The USA! Authorized Dealer {{Overnight Shipping Available (10:30am CST Cutoff Time)}}

Price: 93.99 USD

Location: La Vergne, Tennessee

End Time: 2024-11-22T23:07:54.000Z

Shipping Cost: 9.95 USD

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Fundamentals of Data Engineering Plan a Joe Reis Paperback

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Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

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Book Title: O'Reilly Media

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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