Simplify Big Data Analytics with Amazon EMR

Simplify Big Data Analytics with Amazon EMR

eBook Details:

  • Paperback: 430 pages
  • Publisher: WOW! eBook (March 25, 2022)
  • Language:¬†English
  • ISBN-10: 1801071071
  • ISBN-13: 978-1801071079

eBook Description:

Simplify Big Data Analytics with Amazon EMR: Design scalable big data solutions using Hadoop, Spark, and AWS cloud native services

Amazon EMR, formerly Amazon Elastic MapReduce, provides a managed Hadoop cluster in Amazon Web Services (AWS) that you can use to implement batch or streaming data pipelines. By gaining expertise in Amazon EMR, you can design and implement data analytics pipelines with persistent or transient EMR clusters in AWS.

This Simplify Big Data Analytics with Amazon EMR book is a practical guide to Amazon EMR for building data pipelines. You’ll start by understanding the Amazon EMR architecture, cluster nodes, features, and deployment options, along with their pricing. Next, the book covers the various big data applications that EMR supports. You’ll then focus on the advanced configuration of EMR applications, hardware, networking, security, troubleshooting, logging, and the different SDKs and APIs it provides. Later chapters will show you how to implement common Amazon EMR use cases, including batch ETL with Spark, real-time streaming with Spark Streaming, and handling UPSERT in S3 Data Lake with Apache Hudi. Finally, you’ll orchestrate your EMR jobs and strategize on-premises Hadoop cluster migration to EMR. In addition to this, you’ll explore best practices and cost optimization techniques while implementing your data analytics pipeline in EMR.

  • Explore Amazon EMR features, architecture, Hadoop interfaces, and EMR Studio
  • Configure, deploy, and orchestrate Hadoop or Spark jobs in production
  • Implement the security, data governance, and monitoring capabilities of EMR
  • Build applications for batch and real-time streaming data analytics solutions
  • Perform interactive development with a persistent EMR cluster and Notebook
  • Orchestrate an EMR Spark job using AWS Step Functions and Apache Airflow

By the end of this Simplify Big Data Analytics with Amazon EMR book, you’ll be able to build and deploy Hadoop- or Spark-based apps on Amazon EMR and also migrate your existing on-premises Hadoop workloads to AWS.

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