Building Data Lakes on AWS – AW-BDL

Course Description

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 catalogue, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures

Technology: AWS
Delivery Method: Instructor-led
Training Credits: NA

Audience Profile

This course is intended for:

• Data platform engineers
• Solutions architects
• IT professionals

Prerequisites

Before attending this course, delegates must:

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

Course Objectives

After completing this course, students will be able 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

Associated Certifications & Exam