Learn to build scalable and secure data lakes with AWS Lake Formation while learning how to optimize for cost and performance.

Understand the data analytics pipeline and prepare to deploy data lakes that solve your business’s data challenges.

In this AWS-BDL: Building Data Lakes on AWS 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.

Whether you attend virtually or in-person, you’ll have the opportunity to ask questions, work through solutions, and get real-time feedback from accredited AWS instructors with deep technical knowledge. The course lectures and labs further your learning with the exploration of several common data lake architectures and prepares learners for the AWS Certified Data Analytics – Specialty certification.

Trainocate is an AWS Authorized Training Partner as well as the AWS Global Training Partner of the Year 2022 is trusted by AWS to offer, deliver, and/or incorporate official AWS Training, including classroom and digital offerings. Whether your team prefers to learn from live instructors, on-demand courses, or both, ATPs offer a breadth of AWS Training options for learners of all levels.

Skills Covered

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

Who Should Attend

This course is intended for:

  • Data platform engineers
  • Solutions architects
  • IT professionals

Course Curriculum


We recommend that attendees of this course have:

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

Download Syllabus