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Simplify Big Data Analytics with Amazon EMR

You're reading from  Simplify Big Data Analytics with Amazon EMR

Product type Book
Published in Mar 2022
Publisher Packt
ISBN-13 9781801071079
Pages 430 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Sakti Mishra Sakti Mishra
Profile icon Sakti Mishra

Table of Contents (19) Chapters

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

Cost-optimization techniques

There are several cost-optimization techniques that AWS offers and the primary ones are related to compute and storage resources. Let's understand some of the cost optimization techniques you can apply.

Cost savings with compute resources

When you are creating EMR on an EC2 cluster, then you have the option to choose any of the following EC2 pricing models:

  • On-Demand Instances: This follows the pay-as-you-go model, where you pay for the EC2 instance, for the duration of time you have used it, without any commitment.
  • Savings Plans: With Savings Plans, you get up to a 72% discount when you commit for a certain amount of usage ($/Hr) for 1 to 3 years. You can choose from no upfront, partial upfront, or all upfront.
  • Standard Reserved Instances: Standard Reserved Instances (RIs) are the same as Savings Plans but with a variation that you must commit for specific EC2 instance type usage and also need to validate the AWS services that...
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