Building Batch Data Analytics Solutions on AWS Course Overview

The "Building Batch Data Analytics Solutions on AWS" course offers an in-depth exploration into constructing robust data analytics pipelines on the AWS platform. It equips learners with the skills to leverage AWS services for high-performance analytics, focusing on Batch data processing using tools like Amazon EMR and Apache Spark.

Module 0 sets the stage by introducing key Data analytics use cases and the crucial role of Data pipelines for effective analytics. Module 1 dives into Amazon EMR, detailing its use in analytics solutions, Cluster architecture, Cost management, and includes an interactive demo for launching an EMR cluster. Module 2 looks at optimizing storage and Data ingestion techniques for Amazon EMR.

Module 3 is dedicated to high-performance analytics using Apache Spark on Amazon EMR, including practical labs for hands-on experience. Module 4 continues with processing and analyzing batch data using Apache Hive and HBase on Amazon EMR.

In Module 5, learners discover Serverless data processing and orchestrate workflows with AWS services like AWS Glue and AWS Step Functions. Module 6 covers the vital aspects of security, monitoring, and troubleshooting of EMR clusters, concluding with a design activity for a batch data analytics workflow. Finally, Module 7 provides insights into developing Modern data architectures on AWS, broadening the scope for learners to design comprehensive analytics solutions. This course is a valuable resource for professionals seeking to enhance their batch data analytics capabilities on the AWS cloud.