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. 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, and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.
Who should attend
This course is intended for:
Individuals responsible for designing and implementing big data solutions, namely Solutions Architects
Data Scientists and Data Analysts interested in learning about big data solutions on AWS
We recommend that attendees of this course have the following prerequisites:
Basic familiarity with big data technologies, including Apache Hadoop, MapReduce, HDFS, and SQL/NoSQL querying
Students should complete the Big Data Technology Fundamentals web-based training or have equivalent experience
Working knowledge of core AWS services and public cloud implementation
This green checkmark in the Upcoming Schedule below indicates that this session is Guaranteed to Run.
Instructor-led Online Training:
This is an Instructor-Led Online (ILO) course. These sessions are conducted via WebEx in a VoIP environment and require an Internet Connection and headset with microphone connected to your computer or laptop.
This is a FLEX course, which is delivered simultaneously in two modalities. Choose to attend the Instructor-Led Online (ILO) virtual session or Instructor-Led Classroom (ILT) session.