Big Data on AWS

The Big Data on AWS course is no longer available and a series of one-day courses has replaced it.

Data analytics courses replacing Big Data on AWS

Building Data Lakes on AWS

Course overview

Level: Intermediate
Type: Classroom (virtual and in person)
Length: 1 day

Building Batch Data Analytics Solutions on AWS

Course overview

Level: Intermediate
Type: Classroom (virtual and in person)
Length: 1 day

Building Data Analytics Solutions using Amazon Redshift

Course overview

Level: Intermediate
Type: Classroom (virtual and in person)
Length: 1 day

Course combinations

It is recommended that you take Building Data Lakes on AWS before taking any one of the following courses.

  • If you are using, or planning to use, Amazon EMR then take Building Batch Data Analytics Solutions on AWS
  • If you are using, or planning to use, Amazon Redshift then take Building Data Analytics Solutions using Amazon Redshift
Data Analytics Icon

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 and cost-effectiveness.

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

Who should take this course

  • Solutions architects
  • SysOps administrators
  • Data scientists
  • Data analysts

What experience you'll need

  • 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

Course overview

Level: Intermediate
Type: Classroom (virtual and in person)
Length: 3 days

Languages offered

This course is offered in the following languages: English, Japanese, Korean, Simplified Chinese, and Traditional Chinese.

Need more information?

Download the course outline for more information about what this course covers.

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Thinking about taking an exam?

Find a related exam to reinforce your learning.

AWS Certified Data Analytics - Specialty

Exam
180 minutes