Serverless ETL and Analytics with AWS Glue: Your comprehensive reference gui...

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Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
Release Year
2022
Book Title
Serverless ETL and Analytics with AWS Glue: Your comprehensive...
ISBN
9781800564985
Publication Year
2022
Type
Textbook
Format
Trade Paperback
Language
English
Subject Area
Mathematics, Computers
Publication Name
Serverless ETL and Analytics with AWS Glue : Your Comprehensive Reference Guide to Learning about AWS Glue and Its Features
Author
Subramanya Vajiraya, Noritaka Sekiyama, Vishal Pathak, Albert Quiroga, Tomohiro Tanaka
Publisher
Packt Publishing, The Limited
Item Length
92.5 in
Subject
General, Data Processing
Item Width
75 in
Number of Pages
434 Pages

About this product

Product Identifiers

Publisher
Packt Publishing, The Limited
ISBN-10
1800564988
ISBN-13
9781800564985
eBay Product ID (ePID)
7057285046

Product Key Features

Number of Pages
434 Pages
Publication Name
Serverless ETL and Analytics with AWS Glue : Your Comprehensive Reference Guide to Learning about AWS Glue and Its Features
Language
English
Subject
General, Data Processing
Publication Year
2022
Type
Textbook
Subject Area
Mathematics, Computers
Author
Subramanya Vajiraya, Noritaka Sekiyama, Vishal Pathak, Albert Quiroga, Tomohiro Tanaka
Format
Trade Paperback

Dimensions

Item Length
92.5 in
Item Width
75 in

Additional Product Features

Intended Audience
Trade
Dewey Edition
23
Dewey Decimal
004.6782
Synopsis
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.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 ]]>
LC Classification Number
QA76.585

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