Building Data Lakes on AWS

1 Days

6 CPD hours

This course is intended for:
Data platform engineers
Solutions architects
IT professionals

In this course, you will learn to:
Apply data lake methodologies in planning and designing a data lake
Articulate the components and services required for building an AWS data lake
Secure a data lake with appropriate permission
Ingest, store, and transform data in a data lake
Query, analyze, and visualize data within a data lake

In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures.

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

Additional course details:

Nexus Humans Building Data Lakes on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.