Building Data Lakes on AWS

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.

Course Contents

Module 1: Introduction to data lakes
Module 2: Data ingestion, cataloging, and preparation
Module 3: Data processing and analytics
Module 4: Building a data lake with AWS Lake Formation
Module 5: Additional Lake Formation configurations
Module 6: Architecture and course review

You have access to the labs for another 14 days after the course. This way you can repeat exercises or deepen them individually.

You will receive the original course documentation by Amazon Web Services in English language as an e-book.

Target Group

This course is intended for:

Data platform engineers
Solutions architects
IT professionals

Knowledge Prerequisites

We recommend that attendees of this course have:

Completed the AWS Technical Essentials
One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals

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

Classroom training: Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
Online training: You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
Tailor-made courses: You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.

You can find the complete description of this course with dates and prices ready for download at as PDF.