Building Data Lakes on AWS Training

Module 1: Introduction to data lakes

Describe the value of data lakes

Compare data lakes and data warehouses

Describe the components of a data lake

Recognize common architectures built on data lakes

Module 2: Data ingestion, cataloging, and preparation

Describe the relationship between data lake storage and data ingestion

Describe AWS Glue crawlers and how they are used to create a data catalog

Identify data formatting, partitioning, and compression for efficient storage and query

Lab 1: Set up a simple data lake

Module 3: Data processing and analytics

Recognize how data processing applies to a data lake

Use AWS Glue to process data within a data lake

Describe how to use Amazon Athena to analyze data in a data lake

Module 4: Building a data lake with AWS Lake Formation

Describe the features and benefits of AWS Lake Formation

Use AWS Lake Formation to create a data lake

Understand the AWS Lake Formation security model

Lab 2: Build a data lake using AWS Lake Formation

Module 5: Additional Lake Formation configurations

Automate AWS Lake Formation using blueprints and workflows

Apply security and access controls to AWS Lake Formation

Match records with AWS Lake Formation FindMatches

Visualize data with Amazon QuickSight

Lab 3: Automate data lake creation using AWS Lake Formation blueprints

Lab 4: Data visualization using Amazon QuickSight

Module 6: Architecture and course review

Post course knowledge check

Architecture review

Course review