Power of Serverless: Simplifying Large-Scale Data Processing

Are you looking to process huge volumes of data without dealing with clusters or learning parallel computing? Using AWS Step Functions and Lambda, you can process structured, semi-structured, and unstructured data at scale. What’s more... You can do it in real-time as the data lands in an Amazon S3 bucket and reduce the time to get meaning out of the data.

Join us for an interactive workshop on large-scale data processing with AWS Step Functions and Lambda hosted by ClearScale and AWS. This live, virtual workshop includes two hours of interactive presentation and hands-on lab work. Follow along and work directly with AWS professionals and ClearScale (an AWS Premier Tier Services Partner) in this Level 200-300 training session.

BY THE END OF THIS LAB YOU WILL:

• Gain hands-on experience with AWS Step Functions distributed map and AWS Lambda
• Learn how to use Distributed Map state for large-scale data processing
• Understand different use cases for applying the distributed map

LAB PREREQUISITES INCLUDE:

• Comfortable editing code files
• Ability to enter commands into command-line
• Basic understanding of AWS Console navigation
• Basic understanding of AWS Serverless services

AGENDA:

• 12:00pm EST: Welcome and agenda for the day
• 12:05pm EST: Serverless data processing
• 12:40pm EST: Large-scale data processing with AWS Step Functions
• 12:50pm EST: Workshop intro
• 1:00pm EST: Workshop
• 1:55pm EST: Closing remarks, surveys, Q&A
• 2:00pm EST: End