Building Data Lakes on AWS Course Overview

Building Data Lakes on AWS Course Overview

The "Building Data Lakes on AWS" course provides a comprehensive guide to creating, managing, and utilizing data lakes on the AWS cloud platform. It is designed to help learners understand the value of data lakes, differentiate them from data warehouses, and recognize the crucial components that make up a data lake. The course covers essential topics such as data ingestion, cataloging, preparation, and processing using a variety of AWS services, including AWS Glue, Amazon Athena, and AWS Lake Formation.

Learners will gain practical experience through hands-on labs, setting up a simple data lake, building a data lake with AWS Lake Formation, automating data lake creation, and data visualization using Amazon QuickSight. By the end of the course, participants will have a solid understanding of building data lakes on AWS, and will be equipped with the skills to build a data lake on AWS effectively, ensuring they can leverage the full potential of their data assets in the cloud.

Purchase This Course


  • Live Online Training (Duration : 8 Hours)
  • Per Participant
  • Including Official Coursebook
  • Guaranteed-to-Run (GTR)
  • date-img
  • date-img

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

  • Live Online Training (Duration : 8 Hours)
  • Per Participant
  • Including Official Coursebook

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

Request More Information

Email:  WhatsApp:

Koenig's Unique Offerings


1-on-1 Training

Schedule personalized sessions based upon your availability.


Customized Training

Tailor your learning experience. Dive deeper in topics of greater interest to you.


4-Hour Sessions

Optimize learning with Koenig's 4-hour sessions, balancing knowledge retention and time constraints.


Free Demo Class

Join our training with confidence. Attend a free demo class to experience our expert trainers and get all your queries answered.

Course Prerequisites

To ensure that participants are well-prepared and can fully benefit from the Building Data Lakes on AWS course, the following prerequisites are recommended:

  • Basic understanding of database concepts, including traditional database management systems and SQL.
  • Familiarity with the concept of data warehousing and the differences between structured and unstructured data.
  • Some experience with cloud computing, particularly with Amazon Web Services (AWS), including an understanding of core AWS services such as Amazon S3, AWS Glue, Amazon Athena, and AWS Lake Formation is beneficial.
  • Knowledge of data processing and analytics concepts, which will aid in understanding how data is transformed and analyzed within a data lake environment.
  • Basic proficiency in using AWS Management Console and AWS Command Line Interface (CLI) will be helpful for the lab components of the course.
  • A willingness to engage with hands-on lab exercises that reinforce the concepts taught in the lessons.

These prerequisites are intended to provide a foundation that will allow students to engage with the course content effectively. They are not meant to be barriers to entry, but rather to ensure that students have a positive and productive learning experience. Students with varying levels of prior knowledge have successfully completed the course by taking advantage of the resources provided and actively participating in the learning process.

Target Audience for Building Data Lakes on AWS

This AWS data lake course offers in-depth training on setting up and managing data lakes, ideal for IT professionals focused on data management and analytics.

  • Data Engineers
  • Data Scientists
  • Data Analysts
  • Cloud Architects
  • IT Managers
  • Database Administrators
  • Big Data Specialists
  • Business Intelligence Professionals
  • System Administrators
  • Developers interested in data lake architectures

Learning Objectives - What you will Learn in this Building Data Lakes on AWS?

Introduction to Learning Outcomes:

The Building Data Lakes on AWS course is designed to equip students with the skills needed to effectively construct, manage, and utilize data lakes on the AWS platform, focusing on concepts such as storage, processing, analysis, and security.

Learning Objectives and Outcomes:

  • Understand the fundamental value and concepts of data lakes compared to traditional data warehouses.
  • Learn the key components that constitute a data lake and explore common architectures integrating data lakes.
  • Gain knowledge of data ingestion methods, cataloging with AWS Glue, and preparation techniques for optimal data storage and retrieval in AWS.
  • Acquire hands-on experience in setting up a basic data lake on AWS through practical labs.
  • Recognize the importance of data processing within a data lake and how to apply these concepts using AWS Glue.
  • Learn to analyze data efficiently using Amazon Athena within a data lake environment.
  • Explore the features, benefits, and security model of AWS Lake Formation for creating and managing data lakes.
  • Gain practical skills in building a data lake using AWS Lake Formation through guided laboratory exercises.
  • Understand how to automate data lake creation with AWS Lake Formation blueprints and workflows and enforce security and access controls.
  • Develop the ability to match records and visualize data effectively using AWS Lake Formation FindMatches and Amazon QuickSight, respectively.