E-book details

Simplify Big Data Analytics with Amazon EMR. A beginner’s guide to learning and implementing Amazon EMR for building data analytics solutions

Simplify Big Data Analytics with Amazon EMR. A beginner’s guide to learning and implementing Amazon EMR for building data analytics solutions

Sakti Mishra

Ebook
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 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.
By the end of this 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.
  • 1. An Overview of Amazon EMR
  • 2. Exploring the Architecture and Deployment Options
  • 3. Common Use Cases and Architecture Patterns
  • 4. Big Data Applications and Notebooks Available in Amazon EMR
  • 5. Setting Up and Configuring EMR Clusters
  • 6. Monitoring, Scaling, and High Availability
  • 7. Understanding Security in Amazon EMR
  • 8. Understanding Data Governance in Amazon EMR
  • 9. Implementing Batch ETL Pipeline with Amazon EMR and Apache Spark
  • 10. Implementing Real-Time Streaming with Amazon EMR and Spark Streaming
  • 11. Implementing UPSERT on S3 Data Lake with Apache Spark and Apache Hudi
  • 12. Orchestrating Amazon EMR Jobs with AWS Step Functions and Apache Airflow/MWAA
  • 13. Migrating On-Premises Hadoop Workloads to Amazon EMR
  • 14. Best Practices and Cost Optimization Techniques
  • Title: Simplify Big Data Analytics with Amazon EMR. A beginner’s guide to learning and implementing Amazon EMR for building data analytics solutions
  • Author: Sakti Mishra
  • Original title: Simplify Big Data Analytics with Amazon EMR. A beginner’s guide to learning and implementing Amazon EMR for building data analytics solutions
  • ISBN: 9781801077729, 9781801077729
  • Date of issue: 2022-03-25
  • Format: Ebook
  • Item ID: e_2t2b
  • Publisher: Packt Publishing