Amazon Elastic MapReduce (EMR) provides a hosted Hadoop framework running on Amazon EC2 and Amazon S3 that allows you to create customized MapReduce jobs.
- Title Page
- Copyright and Credits
- Packt Upsell
- Contributors
- Preface
- Cloud 101 – Understanding the Basics
- Designing Cloud Applications
- Introducing AWS Components
- AWS components
- Amazon compute-related services
- Amazon storage-related services
- Amazon database-related services
- Amazon messaging-related services
- Amazon networking and content delivery services
- Amazon management tools
- Amazon security, identity, and compliance services
- Amazon analytics-related services
- Amazon machine learning/AI-related services
- Other Amazon services
- Managing costs on AWS cloud
- Application development environments
- Setting up the AWS infrastructure
- Summary
- AWS components
- Designing for and Implementing Scalability
- Defining scalability objectives
- Designing scalable application architectures
- Leveraging AWS infrastructure services for scalability
- Evolving architecture against increasing loads
- Event handling at scale
- Setting up Auto Scaling
- Summary 
- Designing for and Implementing High Availability
- Designing for and Implementing Security
- Defining security objectives
- Understanding the security responsibilities
- Best practices in implementing AWS security
- Setting up security
- Summary
- Deploying to Production and Going Live
- Designing a Big Data Application
- Introducing big data applications
- Analyzing streaming data with Amazon Kinesis
- Best practices for serverless big data applications
- Best practices for using Amazon EMR
- Best practices for distributed machine learning and predictive analytics
- Security overview for big data applications
- Configuring and using EMR-Spark clusters
- Summary
- Implementing a Big Data Application
- Deploying a Big Data System
- Other Books You May Enjoy
Amazon EMR
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