Big Data on AWS introduces you to cloud-based big data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis and the rest of 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 Hive and Hue. We also teach 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 and cost-effectiveness.
Individuals responsible for designing and implementing big data solutions, namely Solutions Architects
Data Scientists and Data Analysts interested in learning about the services and architecture patterns behind big data solutions on AWS
Basic familiarity with big data technologies, including Apache Hadoop, MapReduce, HDFS, and SQL/NoSQL querying
Students should complete the free Big Data Technology Fundamentals web-based training or have equivalent experience
Working knowledge of core AWS services and public cloud implementation
Basic understanding of data warehousing, relational database systems, and database design
Attended one of Architecting on AWS, Developing on AWS, or Systems Operations on AWS
*Course Cost listed does not include the cost of exam. Course is subject to a minimum enrollment to run. Course may run virtually as a Virtual Instructor-Led (VILT) class if the minimum enrollment is not met. For more information, please contact firstname.lastname@example.org or call 207-775-0244.