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

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

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About the Book

Build efficient data lakes that can scale to virtually unlimited size using AWS Glue Key Features Book DescriptionOrganizations 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. Beginning 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-time analysis using this service. It also provides a walk-through of CI/CD 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 Apply various AWS Glue features to manage and create data lakes Use Glue DataBrew and Glue Studio for data preparation Optimize data layout in cloud storage to accelerate analytics workloads Manage metadata including database, table, and schema definitions Secure your data during access control, encryption, auditing, and networking Monitor AWS Glue jobs to detect delays and loss of data Integrate Spark ML and SageMaker with AWS Glue to create machine learning models Who this book is for ETL developers, data engineers, and data analysts

Table of Contents:
Table of Contents Data Management – Introduction and Concepts Introduction to Important AWS Glue Features Data Ingestion Data Preparation Designing Data Layouts Data Management Metadata Management Data Security Data Sharing Data Pipeline Management Monitoring Tuning, Debugging, and Troubleshooting Data Analysis Machine Learning Integration Architecting Data Lakes for Real-World Scenarios and Edge Cases


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Product Details
  • ISBN-13: 9781800564985
  • Publisher: Packt Publishing Limited
  • Publisher Imprint: Packt Publishing Limited
  • Height: 235 mm
  • No of Pages: 434
  • Sub Title: Your comprehensive reference guide to learning about AWS Glue and its features
  • ISBN-10: 1800564988
  • Publisher Date: 30 Aug 2022
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Width: 191 mm


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