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AWS Serverless Data Lake Jumpstart

Introduction

This workshop is prepared to guide participants on how to use AWS serverless services to build a cloud-native and future-proof serverless data lake architecture. We will use AWS Glue for ETL and data catalog management, Amazon S3 for data lake storage, Amazon Athena to query data and Amazon QuickSight to visualize data.

AWS Serverless Data Lake Diagram

Objective

The objective of the workshop is to enable participants to jumpstart their journey of building a serverless data lake using the Lambda Architecture data-processing design pattern. Participants will go through a series of guided hands-on lab exercises using AWS serverless services to build a solution and tackle real-world scenarios.

Contents

  1. Getting Started
  2. Discovering and Cataloging Data
  3. Exploring Data
  4. Transforming Data
  5. Enriching Data
  6. Visualizing Data
  7. Clean Up Resources
  8. Summary