Big Data on AWS.

This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises. This course will be delivered through a mix of instructor-led training (ILT) and hands-on labs

About the course

In this course, you will learn about cloud-based Big Data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis, and the rest of the AWS Big Data platform. We will show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We will 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.

This course is intended for

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

Course Objectives

  • Gain a basic understanding of the AWS Cloud and core & application services.
  • Complete hands-on exercises to reinforce your learning and understanding.
  • Get your questions answered by our AWS certified trainer.
  • Network with your industry peers and the Nordcloud team.

This course is designed to teach you how to:

  • 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
  • Improve the ease of use of Amazon EMR by using Hadoop User Experience (Hue)
  • Use in-memory analytics with Apache Spark on Amazon EMR
  • Choose appropriate AWS data storage options
  • Identify the benefits of using Amazon Kinesis for near real-time Big Data processing
  • Leverage Amazon Redshift to efficiently store and analyze data
  • Comprehend and manage costs and security for a Big Data solution
  • Identify options for ingesting, transferring, and compressing data
  • Leverage Amazon Athena for ad-hoc query analytics
  • Use AWS Glue to automate extract, transform, and load (ETL) workloads
  • Use visualization software to depict data and queries using Amazon QuickSight

Schedule & Locations

Save up to 20% by registering early! Select the course you’re interested in to see pricing and the registration form.

Big Data on AWS

Location: Virtual

Dates: May 5th – 7th 2020

Time: 9:00 – 17.00 BST

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