UPDATE: Please note the revised start time at 11:00 am.

This Analytics on AWS workshop is designed to provide hands-on experience with AWS analytics services portfolio. Through a series of modules, you'll learn to build a comprehensive analytics platform on AWS. The workshop covers ingesting, storing, transforming, and consuming data using services such as AWS Glue, Amazon Athena, Amazon Kinesis, Amazon EMR, Amazon QuickSight, AWS Lambda, and Amazon Redshift.

Why Attend

• Gain hands-on experience with AWS analytics services
• Learn to design and implement serverless data lake solutions
• Develop skills in real-time data streaming and analysis

Learning outcomes from this workshop

• Design serverless data lake architecture
• Build a data processing pipeline and data lake using Amazon S3 for storing data
• Use Amazon Kinesis for real-time streaming data
• Use Amazon Kinesis Data Analytics for real-time data analysis
• Use AWS Glue to automatically catalog datasets using Crawlers
• Data transformation
• Run interactive ETL scripts in a Jupyter notebook on AWS Glue Studio using AWS Glue interactive sessions
• Use AWS Glue Studio to run, and monitor ETL jobs in AWS Glue
• Use AWS Glue DataBrew to do data preparation
• Use EMR to run a Spark transformation job
• Load data to Amazon Redshift from a AWS Glue ETL job
• Intro into Amazon Redshift best design practices
• Query data using Amazon Athena & visualize it using Amazon QuickSight

Level 300: Sessions dive deeper into the selected topic. Presenters assume that the audience has some familiarity with the topic, but may or may not have direct experience implementing a similar solution.

Whether you're starting your data journey or seeking an integrated experience, AWS gives you the right analytics capabilities to help you reinvent your business with data.

By registering, you agree to the AWS Event Terms & Conditions and AWS Code of Conduct.