Big Data on AWS introduces you to cloud-based big data solutions and Amazon Elastic MapReduce (EMR), the AWS big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Pig and Hive. We also teach you how to create big data environments, work with Amazon DynamoDB and Amazon Redshift, understand the benefits of Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.
What You'll Learn
Apache Hadoop in the context of Amazon EMR
The architecture of an Amazon EMR cluster
Launch an Amazon EMR cluster using an appropriate Amazon Machine Image and Amazon EC2 instance types
Appropriate AWS data storage options for use with Amazon EMR
Ingesting, transferring, and compressing data for use with Amazon EMR
Use common programming frameworks available for Amazon EMR including Hive, Pig, and Streaming
Work with Amazon Redshift to implement a big data solution
Leverage big data visualization software
Appropriate security options for Amazon EMR and your data
Perform in-memory data analysis with Spark and Shark on Amazon EMR
Options to manage your Amazon EMR environment cost-effectively
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