Building Data Lakes on AWS

Course subjects

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

• Recognise 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

Module 3: Building a Data Lake with AWS Lake Formation

• Recognise 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 analyse data in a data lake

• Lab 01: Building a Data Lake with AWS Lake Formation

Module 4: Data Processing and Analysis

• 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

• Explain the available built-in Blueprints to create and populate a new Lake Formation

• Describe methods for applying advanced permissions to secure data access and workflow

• Describe fine-grained row/cell access control

• Explain the Lake Formation Tag-based access control mechanism and the different use cases for Named access control vs. Tag-based access control

• Describe access flow that enforces fine-grained access policies to both catalog metadata and underlying data resource for analytics services connecting to Lake Formation

Module 6: Modern Data Architecture

• Explain capabilities of a modern data architecture: Scalable data lakes, Purpose-built analytics services, Seamless data movement, unified governance, and performance and cost-effectiveness

• Articulate the typical data movement within a modern data architecture: Inside out, Outside in, Around the perimeter, and Sharing across

• Describe focus of building and maintaining data products as a service

• Describe a typical Data Mesh architecture using Lake Formation and the key enablers supporting this methodology

• Lab 3: Building and publishing a data product in Lake Formation

Module 7: Course Wrap Up

• Post course knowledge check

• Architecture review

• Course review

Please note: This is an emerging technology course. Course outline is subject to change as needed.