Course Overview
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 catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures. This course includes presentations, lecture, hands-on labs, and group exercises.
Who should attend
- Data platform engineers
- Solutions architects
- IT professionals
Certifications
This course is part of the following Certifications:
Prerequisites
We recommend that attendees of this course have:
- Completed the AWS Technical Essentials (AWSE) classroom course
- One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals digital course
Course Objectives
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
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