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Building Data Lakes on AWS

Last Updated: 08-03-2025

The Building Data Lakes on AWS course is designed to help you understand how to architect, implement, and manage scalable and secure data lakes using Amazon Web Services. In this hands-on training, you'll learn how to collect, store, analyze, and secure massive amounts of data in a centralized repository, leveraging AWS services like S3, Glue, Redshift, and Lake Formation. This course provides the skills necessary to create a robust data lake solution that powers analytics, machine learning, and business intelligence.

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Schedule Learners Course Fee (Incl. of all Taxes) Register Your Interest
March 28th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
10% Off
$320
$288
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March 29th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
10% Off
$320
$288
April 04th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
April 05th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
April 06th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
April 11th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
April 12th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
April 13th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
April 18th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
April 19th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
April 20th - 21st
06:00 PM - 10:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
April 25th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
April 26th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
April 27th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
Guaranteed-to-Run
20% Off
$320
$256
May 02nd
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
25% Off
$320
$240
May 03rd
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
25% Off
$320
$240
May 09th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
25% Off
$320
$240
May 10th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
25% Off
$320
$240
May 16th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
25% Off
$320
$240
May 17th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
25% Off
$320
$240

Course Prerequisites

  • Basic understanding of cloud computing concepts.
  • Familiarity with AWS services (e.g., S3, EC2, IAM) is beneficial but not mandatory.
  • Recommended: Knowledge of data warehousing concepts or experience with data processing tools like SQL or Python.

 

Learning Objectives

By the end of this course, you will be able to:

  1. Design and implement a scalable and cost-effective data lake architecture on AWS.
  2. Use AWS services like Amazon S3, AWS Glue, and AWS Lake Formation to manage data ingestion, transformation, and storage.
  3. Implement security and compliance measures to protect sensitive data in your data lake.
  4. Integrate structured and unstructured data into a unified data lake for analytics and machine learning.
  5. Set up automated data pipelines and data cataloging systems for better data discovery and accessibility.
  6. Optimize performance and cost-efficiency for big data processing using AWS tools like Redshift and Athena.
  7. Enable real-time analytics and decision-making by integrating data lakes with AWS analytics and machine learning services.

Target Audience

This course is ideal for:

  • Data engineers, architects, and professionals responsible for designing and managing data lakes.
  • Data scientists and analysts who want to learn how to work with large-scale datasets in the cloud.
  • Cloud architects looking to deepen their knowledge of data lake architectures and AWS data services.
  • IT professionals interested in implementing data lake solutions for analytics and big data applications.

Course Modules

  • Introduction to Data Lakes:

    • Value and components of data lakes.
    • Common architectures and comparisons with data warehouses.

  • Data Ingestion, Cataloging, and Preparation:

    • Data ingestion strategies and AWS Glue crawlers.
    • Data formatting, partitioning, and compression techniques.
    • Lab: Setting up a simple data lake.

  • Data Processing and Analytics:

    • Data processing applications within a data lake.
    • Using AWS Glue for data processing.
    • Analyzing data with Amazon Athena.

  • Building a Data Lake with AWS Lake Formation:

    • Features and benefits of AWS Lake Formation.
    • Creating and securing data lakes using Lake Formation.
    • Lab: Building a data lake with AWS Lake Formation.

  • Additional Lake Formation Configurations:

    • Automating data lake creation with blueprints and workflows.
    • Applying security and access controls.
    • Data visualization with Amazon QuickSight.
    • Labs: Automating data lake creation and visualizing data.

  • Architecture Review and Course Wrap-up:

    • Review of course content and architecture best practices.

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What Our Learners Are Saying

The training, courseware, and lab experience were insightful and valuable. Keep up the great work and learning experience!

Nitish A. Anand – Accenture

Course: SC-200: Microsoft Security Operations Analyst
Date: 15th Jan 2025

The instructor was professional and very content.

Justine Daudi Mlimbilah – Bank of Africa, Tanzania

Course: MD-102: Microsoft 365 Endpoint Administrator
Date: 20th Dec 2024

The instructor was so knowledgeable & humble. Rare to find someone so confident but so down to earth these days. So appreciative to him.”

Mohd. Hassan – Ministry of Finance, UAE

Course: AZ-700: Designing and Implementing Microsoft Azure Networking Solutions
Date: 31st July 2024

Instructor is experienced and knowledgeable in guiding.

Dharshini Mahalaxmi – Dr. MGR Education and Research Institute, Chennai, India

Course: SC-300: Microsoft Identity and Access Administrator
Date: 4th May 2024