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Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
AWS Elastic MapReduce.
Provides a comprehensive overview of Hadoop, the open-source framework on which EMR is based. It covers all aspects of Hadoop, from installation and configuration to programming and administration.
Provides a collection of recipes for using EMR. It covers a wide range of topics, including setting up EMR clusters, developing and deploying applications, and troubleshooting. This book valuable resource for EMR users of all levels.
Provides a comprehensive guide to operating Hadoop clusters at scale. It covers all aspects of Hadoop operations, from installation and configuration to performance tuning and troubleshooting.
Provides a comprehensive guide to using Spark for advanced analytics. It covers all aspects of Spark, from data preparation and feature engineering to model training and evaluation.
Provides a comprehensive guide to using Spark for machine learning. It covers all aspects of Spark, from data preparation and feature engineering to model training and evaluation.
Provides an advanced guide to data analytics with Hadoop. It covers a wide range of topics, including data mining, machine learning, and deep learning. While this book does not specifically focus on EMR, it valuable resource for understanding the underlying technology that powers EMR.
Provides a comprehensive overview of Apache Spark, including its architecture, programming model, and how to use it for data processing. While this book does not specifically focus on EMR, it valuable resource for understanding the underlying technology that powers EMR's Spark capabilities.
Provides a hands-on introduction to EMR. It covers a wide range of topics, including setting up EMR clusters, developing and deploying applications, and troubleshooting. This book valuable resource for EMR users of all levels.
Provides a practical guide to using Hadoop for big data analytics. It covers a wide range of topics, including data ingestion, data processing, and data visualization. While this book does not specifically focus on EMR, it valuable resource for understanding the underlying technology that powers EMR.
Study guide for the AWS Certified Solutions Architect - Associate (SAA-C01) exam. It covers all of the topics that are tested on the exam, including EMR. While this book is not specific to EMR, it valuable resource for understanding the role that EMR plays in AWS cloud architecture.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/7etrw1/aws
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