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Fundamentals of Data Engineering: Plan and Build Robust Data Systems by Joe Reis

Description: 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

Price: 68.22 USD

Location: East Hanover, New Jersey

End Time: 2025-01-15T17:45:00.000Z

Shipping Cost: 0 USD

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Fundamentals of Data Engineering: Plan and Build Robust Data Systems by Joe ReisFundamentals of Data Engineering: Plan and Build Robust Data Systems by Joe Reis

Item Specifics

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 60 Days

Refund will be given as: Money Back

Return policy details:

EAN: 9781098108304

UPC: 9781098108304

ISBN: 9781098108304

MPN: N/A

Book Title: Fundamentals of Data Engineering: Plan and Build R

Number of Pages: 447 Pages

Language: English

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

Publisher: O'reilly Media, Incorporated

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

Item Height: 1.2 in

Publication Year: 2022

Item Weight: 27.2 Oz

Type: Textbook

Author: Joe Reis, Matt Housley

Subject Area: Computers

Item Length: 9.1 in

Item Width: 7 in

Format: Trade Paperback

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