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Simplify Big Data Analytics with Amazon EMR
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Simplify Big Data Analytics with Amazon EMR
by Sakti Mishra
Simplify Big Data Analytics with Amazon EMR
Simplify Big Data Analytics with Amazon EMR
Contributors
About the author
About the reviewers
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
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