• Title: The Data Engineering Cookbook: Mastering The Plumbing Of Data Science
• Author(s) Andreas Kretz
• Publisher: The Data Engineering Academy; eBook (Apache Licensed)
• License(s): Apache License
• Hardcover/Paperback: N/A
• eBook: PDF
• Language: English
• ISBN-10/ASIN: N/A
• ISBN-13: N/A
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Book Description

This book provides a clear understanding of data modeling techniques and pipelining. At the beginning of the book, you will learn the basics of data engineering. Then you will learn the technologies and frameworks required to build data pipelines to work with large datasets.

This is a practical and comprehensive guide. This book deals with all the stuff that happens around data engineering like storage, models, structures, access patterns, encoding, replication, partitioning, distributed systems, batch & stream processing, and the future of data systems.

By reading this book, you get a clear understanding of real-world big data architecture. This book is good for you if you are working on or interviewing for big data engineering. This book provides an amazing introduction to the fundamental concepts behind the much-hyped Big Data tools

You will also learn how to transform and clean data and perform analytics to get the most out of your data. At the last of the book, you will learn how to work with big data of varying complexity and production databases, and build data pipelines. You will also build architectures on which you’ll learn how to deploy data pipelines using real-world examples.

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• Amazon

• Data Science and Data Engineering
• Data Analysis and Data Mining
• Big Data
• Machine Learning
• Unix/Linux Shell Scripting

• The Data Engineering Cookbook: Mastering The Plumbing Of Data Science (Andreas Kretz)
• The Mirror Site (1) - PDF
• The Mirror Site (2) - PDF
• Book Homepage (HTML and PDF Edition, Source Code, etc.)

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