Building a Serverless Data Lake on AWS

Learn how to design, build, and operate a serverless data lake solution with AWS services

In this one-day advanced course, you will learn to design, build, and operate a serverless data lake solution with AWS services. This course will include topics such as ingesting data from any data source at large scale, storing the data securely and durably, enabling the capability to use the right tool to process large volumes of data, and understanding the options available for analyzing the data in near-real time.

Course Objectives

In this course, you will learn to:

  • Collect large amounts of data, using services such as Amazon Kinesis Data Streams and Amazon Kinesis Data Firehose, and store the data durably and securely in Amazon Simple Storage Service (Amazon S3)
  • Create a metadata index of your data lake
  • Choose the best tools for ingesting, storing, processing, and analyzing your data in the lake
  • Apply the knowledge to hands-on labs that provide practical experience with building an end-to-end solution
  • Configure Amazon Simple Notification Service (Amazon SNS) to audit, monitor, and receive event notifications about activities in the data warehouse
  • Prepare for operational tasks, such as resizing Amazon Redshift clusters and using snapshots to back up and restore clusters
  • Use a business intelligence (BI) application to perform data analysis and visualization tasks against your data

Intended Audience

This course is intended for:

  • Solutions architects
  • Big Data developers
  • Data architects and analysts
  • Data analysis practitioners

Course Overview


Course Modality
Classroom + hands-on labs


Course Level


Course Time
1 day


Course Language
Available in multiple languages