
Building Data Lakes on AWS (BDLA)
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
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
Schedule
English
Time zone: Eastern European Time (EET)
2 hours difference
Spanish
5 hours difference
7 hours difference
8 hours difference
Italian
Time zone: Eastern European Time (EET)
Portuguese
5 hours difference
Guaranteed date:
We will carry out all guaranteed training regardless of the number of attendees, exempt from force majeure or other unexpected events, like e.g. accidents or illness of the trainer, which prevent the course from being conducted.
Instructor-led Online Training:
This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.