Big Data on AWS
In this course, you'll learn about cloud-based Big Data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis, and the rest of the AWS Big Data platform. You'll discover how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. The course also teaches you how to create Big Data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon QuickSight, Amazon Athena, and Amazon Kinesis, and leverage best practices to design Big Data environments for security
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Description
What you'll learn
- Fit AWS solutions inside a Big Data ecosystem
- Leverage Apache Hadoop in the context of Amazon EMR
- Identify the components of an Amazon EMR cluster, then launch and configure an Amazon EMR cluster
- Use common programming frameworks available for Amazon EMR, including Hive, Pig, and streaming
- And much more
Prerequisites
- Basic familiarity with big data technologies, including Apache Hadoop, HDFS, and SQL/NoSQL querying
- Completed Data Analytics Fundamentals free digital training or equivalent experience
- Working knowledge of core AWS services and public cloud implementation
- Completed the AWS Technical Essentials classroom training or have equivalent experience
- Basic understanding of data warehousing, relational database systems, and database design
