Big Data on AWS

About this Course:

Big Data on AWS introduces you to cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis and the rest of the AWS big data platform.

Course Objectives:

Fit AWS solutions inside of a big data ecosystem, Leverage Apache Hadoop in the context of Amazon EMR, Identify the components of an Amazon EMR cluster, Launch and configure an Amazon EMR cluster, Leverage common programming frameworks available for Amazon EMR including Hive, Pig, and Streaming, Leverage Hue to improve the ease-of-use of Amazon EMR, Use in-memory analytics with Spark on Amazon EMR, Choose appropriate AWS data storage options, Identify the benefits of using Amazon Kinesis for near real-time big data processing, Leverage Amazon Redshift to efficiently store and analyze data, Comprehend and manage costs and security for a big data solution, Identify options for ingesting, transferring, and compressing data, Leverage Amazon Athena for ad-hoc query analytics

Leverage AWS Glue to automate ETL workloads.

Use visualization software to depict data and queries using Amazon QuickSight

Orchestrate big data workflows using AWS Data Pipeline