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Serverless ETL and Analytics with AWS Glue
Serverless ETL and Analytics with AWS Glue

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

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Profile Icon Vishal Pathak Profile Icon Subramanya Vajiraya Profile Icon Noritaka Sekiyama Profile Icon Tomohiro Tanaka Profile Icon Albert Quiroga Profile Icon Ishan Gaur +2 more Show less
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£31.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (18 Ratings)
Paperback Aug 2022 434 pages 1st Edition
eBook
£25.99
Paperback
£31.99
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Renews at £9.99p/m
Arrow left icon
Profile Icon Vishal Pathak Profile Icon Subramanya Vajiraya Profile Icon Noritaka Sekiyama Profile Icon Tomohiro Tanaka Profile Icon Albert Quiroga Profile Icon Ishan Gaur +2 more Show less
Arrow right icon
£31.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (18 Ratings)
Paperback Aug 2022 434 pages 1st Edition
eBook
£25.99
Paperback
£31.99
Subscription
Free Trial
Renews at £9.99p/m
eBook
£25.99
Paperback
£31.99
Subscription
Free Trial
Renews at £9.99p/m

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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. 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.

Who is this book for?

ETL developers, data engineers, and data analysts

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
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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 30, 2022
Length: 434 pages
Edition : 1st
Language : English
ISBN-13 : 9781800564985
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Estimated delivery fee Deliver to Great Britain

Standard delivery 1 - 4 business days

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(Includes tracking information)

Product Details

Publication date : Aug 30, 2022
Length: 434 pages
Edition : 1st
Language : English
ISBN-13 : 9781800564985
Vendor :
Amazon
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


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Solutions Architect's Handbook
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Serverless ETL and Analytics with AWS Glue
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Total £ 137.97 Stars icon
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Amber Runnels Aug 30, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Serverless ETL and Analytics with AWS Glue is the most thorough and helpful guide for working the Glue service. It explains the foundations of data lakes, data formats, and ETL as well Glue best practice. The book is filled with hard to find code samples for performing many operations with Glue to accelerate your adoption. It also features information on Glue's integration with other technology stacks including the much sought after Hudi and Delta Lake. I would recommend this to anyone working with AWS Glue.
Amazon Verified review Amazon
Monjumi Aug 30, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
With the ever growing need to adopt serverless processing tools and frameworks for ETL workloads and with the immense capabilities that AWS Glue offers in this space, a comprehensive book on Glue was the need of the hour.I enjoyed reading all the sections of this book and I am quite impressed with the level of details captured in each section. To build an effective and scalable ETL strategy on the cloud which would cater to the current and future business needs, the analysts, data engineers and developers should pay attention to these details. The section that drew my attention the most was "Section-5 Data Layout" which highlights some of the key techniques that are often missed because of more emphasis on short-term technical and business goals. These techniques are in fact important considerations to make, to get the best insights out of the data in an efficient manner.One thing that could be a good addition is to include a segment summarizing some of the design patterns and anti-patterns while using AWS Glue. This could be a list of simple DOs' and DONT's which will allow readers to bookmark it for quick access without having to navigate to individual sections. Overall, it is a must read for every data enthusiast. Kudos to the authors!
Amazon Verified review Amazon
Lezhi Qu Sep 07, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is a thorough and in-depth guide on building a data platform for scalable analysis using AWS Glue. It not only covers the rich features of AWS Glue, such as Marketplace Connections, Notebooks, GlueETL, Crawlers, etc. But more importantly, it provides practical guidance on architecting a scalable data platform with Glue. It guides you from core technical concepts to reference architectures to implementation best practices and code snippets. Whether a beginner on data analysis or a tenured solutions architect, you can get lots of value reading this book.
Amazon Verified review Amazon
Tatsuya Suzuki Aug 31, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
When engineers wanna understand AWS Glue service, I strongly recommend to read this book from following points of view. From beginners to tenured engineers, this book is useful.- This book explains not only Glue service itself but also related service such as Athena, Redshift, S3 and SageMaker etc. Glue can be used with these services so engineers can learn them as well.- This book mentions many sample codes for each section to understand Glue service. Engineers can test with them and learn Glue service well.- Glue engine is based on Apache Spark so engineers should understand difference between them. This book explains about the detailed difference.- Common issues and how to troubleshoot them are written in this book. Engineers can troubleshoot common issue by themselves.- Each section has background, how to use and summary at last so it's easy to understand the content.
Amazon Verified review Amazon
Mert H Sep 02, 2022
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Learning AWS Glue can have a very steep learning curve. There are many aspects of Glue, such as Workflows, Notebooks, GlueETL, Crawlers, etc. This book does a great job describing most aspects of the service, including examples and references that really help you understand the intended use of the service. The books first couple chapters provides a solid foundation of core concepts such as what is a data lake, lake houses, and data meshes, which are all becoming really popular today. Section 2 is my favorite section as it outlines how best to layout your datasets to get the most optimal performance (and cost) using Glue and other analytical engines and other aspects such as permissioning and access control, and sharing of that data within an organization. Section 3 taught me about ML use cases and tricks on getting the most out of Glue.Overall, if you are a novice, or even an experienced user, there is a lot of content in the book that you will learn from. Definitely recommend as a reference book for anyone developing using Glue.
Amazon Verified review Amazon
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