Building Data Lakes on AWS Training

Name: Building Data Lakes on AWS
Price: 695.00 USD
Availability: InStock
Rating: 4.5 (1200 reviews)

Price
$695.00 USD

Duration
1 Day

Delivery Methods
Virtual Instructor Led
Private Group

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Course Overview

By 2025, over 80% of the world’s data will be unstructured, challenging organizations to rethink how they store, process, and analyze information. This hands-on course equips you with the skills to build an operational data lake that supports analysis of both structured and unstructured data using AWS.

Through expert-led instruction and real-world labs, you'll learn how to build scalable, secure data lakes on AWS using services like AWS Lake Formation, AWS Glue, and Amazon Athena. You'll explore the components of a modern data lake architecture, understand the functionality of the services involved in creating a data lake, and gain experience designing solutions that turn raw data into business insight.

Course Objectives

This course is designed to give you practical, hands-on experience with the key AWS services used in building data lakes. You’ll explore common architecture patterns and learn how to ingest, catalog, transform, and query data—all within a secure and scalable framework. With labs and guided instruction, you’ll walk away ready to build your own data lake infrastructure and support modern data analytics efforts.

By the end of the course, you’ll be able to:

Identify the core components of a modern data lake architecture
Use AWS Lake Formation to build a data lake and manage access controls
Catalog and transform data with AWS Glue
Query datasets using Amazon Athena and visualize results with QuickSight

Who Should Attend?

Data platform engineers Solutions Architects IT professionals

Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

What is the Building Data Lakes on AWS course?

It’s a one-day, instructor-led course focused on teaching how to design, build, and secure a modern data lake on AWS using services like Lake Formation, Glue, and Athena.

Is the Building Data Lakes on AWS course worth it?

Yes—this course is packed with real-world skills and hands-on labs using actual AWS services. You'll leave with the ability to build and manage a secure, scalable data lake architecture and support enterprise-level data analytics initiatives. It also helps you prepare for AWS certification and cloud-focused career growth.

How can this help with building a secure pipeline?

You’ll learn to build a data lake, automate ingestion and cataloging, enforce access controls with Lake Formation, and enable self-service analytics—key steps in any modern, secure data pipeline.

Does the course include labs?

Yes. You’ll complete multiple hands-on labs that walk you through building, securing, and querying a functional AWS data lake.

What experience do I need before taking this course?

You should have completed AWS Technical Essentials and have at least one year of experience building data analytics pipelines or equivalent.

Course Prerequisites

Working knowledge of core AWS services and public cloud implementation
One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals digital course
Attended one of Architecting on AWS, Developing on AWS, or Systems Operations on AWS