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Simplify Big Data Analytics with Amazon EMR

You're reading from   Simplify Big Data Analytics with Amazon EMR A beginner's guide to learning and implementing Amazon EMR for building data analytics solutions

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Product type Paperback
Published in Mar 2022
Publisher Packt
ISBN-13 9781801071079
Length 430 pages
Edition 1st Edition
Concepts
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Author (1):
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Sakti Mishra Sakti Mishra
Author Profile Icon Sakti Mishra
Sakti Mishra
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Toc

Table of Contents (19) Chapters Close

Preface 1. Section 1: Overview, Architecture, Big Data Applications, and Common Use Cases of Amazon EMR
2. Chapter 1: An Overview of Amazon EMR FREE CHAPTER 3. Chapter 2: Exploring the Architecture and Deployment Options 4. Chapter 3: Common Use Cases and Architecture Patterns 5. Chapter 4: Big Data Applications and Notebooks Available in Amazon EMR 6. Section 2: Configuration, Scaling, Data Security, and Governance
7. Chapter 5: Setting Up and Configuring EMR Clusters 8. Chapter 6: Monitoring, Scaling, and High Availability 9. Chapter 7: Understanding Security in Amazon EMR 10. Chapter 8: Understanding Data Governance in Amazon EMR 11. Section 3: Implementing Common Use Cases and Best Practices
12. Chapter 9: Implementing Batch ETL Pipeline with Amazon EMR and Apache Spark 13. Chapter 10: Implementing Real-Time Streaming with Amazon EMR and Spark Streaming 14. Chapter 11: Implementing UPSERT on S3 Data Lake with Apache Spark and Apache Hudi 15. Chapter 12: Orchestrating Amazon EMR Jobs with AWS Step Functions and Apache Airflow/MWAA 16. Chapter 13: Migrating On-Premises Hadoop Workloads to Amazon EMR 17. Chapter 14: Best Practices and Cost-Optimization Techniques 18. Other Books You May Enjoy

Chapter 2: Exploring the Architecture and Deployment Options

This chapter will dive deep into the Elastic MapReduce (EMR) architecture. We will also look at the different deployment options it provides, such as Amazon EMR on Amazon Elastic Compute Cloud (EC2), Amazon EMR on Amazon Elastic Kubernetes Service (EKS), and Amazon EMR on AWS Outposts. It will also explain details around different EMR cluster node types, its life cycle, and ways to submit work to the cluster.

Toward the end of the chapter, you will learn how EMR pricing works with different deployment options and how you can use AWS Budgets and Cost Explorer for cost-related monitoring.

As we proceed to further chapters of this book, where we will cover different use cases and implementation patterns around EMR, an understanding of the architecture and deployment options will be a prerequisite.

The following topics will be covered in this chapter:

  • EMR architecture deep dive
  • Understanding clusters and...
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