Serverless ETL and Analytics with AWS Glue: Your comprehensive reference guide to learning about AWS Glue and its features

[LeeAndro]

English | 2022 | ISBN: ‎ 1800564988 | 435 pages | True PDF | 25.32 MB

Build efficient data lakes that can scale to virtually unlimited size using AWS Glue

Key Features


Book Description
Organizations these days have gravitated toward services such as AWS Glue that undertake undifferentiated heavy lifting and provide serverless Spark, enabling you to create and manage data lakes in a serverless fashion.​

This guide shows you how AWS Glue can be used to solve real-world problems along with helping you learn about data processing, data integration, and building data lakes.
Bning with AWS Glue basics, this book teaches you how to perform various aspects of data analysis such as ad hoc queries, data visualization, and real- analysis using this service. It also provides a walk-through of D for AWS Glue and how to shift left on quality using automated regression tests. You'll find out how data security aspects such as access control, encryption, auditing, and networking are implemented, as well as getting to grips with useful techniques such as picking the right file format, compression, partitioning, and bucketing. As you advance, you'll discover AWS Glue features such as crawlers, Lake Formation, governed tables, lineage, DataBrew, Glue Studio, and custom connectors. The concluding chapters help you to understand various performance tuning, troubleshooting, and monitoring options.
By the end of this AWS book, you'll be able to create, manage, troubleshoot, and deploy ETL pipelines using AWS Glue.

What you will learn


Who this book is for
This book is for ETL developers, data eeers, and data analysts who want to understand how AWS Glue can help you solve your business problems. Basic knowledge of AWS data services is assumed.

Table of Contents




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