Simplify Big Data Analytics with Amazon EMR (E-book)

Simplify Big Data Analytics with Amazon EMR (E-book) - Opis

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. Spis treści: 1. An Overview of Amazon EMR2. Exploring the Architecture and Deployment Options3. Common Use Cases and Architecture Patterns 4. Big Data Applications and Notebooks Available in Amazon EMR5. Setting Up (...) więcej and Configuring EMR Clusters6. Monitoring, Scaling, and High Availability 7. Understanding Security in Amazon EMR8. Understanding Data Governance in Amazon EMR9. Implementing Batch ETL Pipeline with Amazon EMR and Apache Spark10. Implementing Real-Time Streaming with Amazon EMR and Spark Streaming11. Implementing UPSERT on S3 Data Lake with Apache Spark and Apache Hudi12. 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 O autorze: Sakti Mishra is an engineer, architect, author, and technology leader with over 16 years of experience in the IT industry. He is currently working as a senior data lab architect at Amazon Web Services (AWS).He is passionate about technologies and has expertise in big data, analytics, machine learning, artificial intelligence, graph networks, web/mobile applications, and cloud technologies such as AWS and Google Cloud Platform.Sakti has a bachelor’s degree in engineering and a master’s degree in business administration. He holds several certifications in Hadoop, Spark, AWS, and Google Cloud. He is also an author of multiple technology blogs, workshops, white papers and is a public speaker who represents AWS in various domains and events. mniej