| Course Date | Start Time | End Time | Time Zone | Location | Days | Price | |
|---|---|---|---|---|---|---|---|
| Call for In Class or Live Virtual Dates | 1 | $675 USD | Purchase |
Building Data Lakes on AWS
In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data, and 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.
Duration: 1 Day
Prerequisites
- Working knowledge of core AWS services and public cloud implementation
- One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals digital course
- Attended one of Architecting on AWS, Developing on AWS, or Systems Operations on AWS
Audience
- Data Platform Engineers
- Solutions Architects
- IT Professionals
Learning Objectives
- 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
Topics
- Introduction to Data Lakes
- Data Ingestion, Cataloging and Preparation
- Data Processing and Analytics
- Building a Data Lake with AWS Lake Formation
- Automate AWS Lake Formation using Blueprints and Workflows
- Apply Security and Access Controls to AWS Lake Formation
- Match Records with AWS Lake Formation FindMatches
- Visualize Data with Amazon QuickSight
- Architecture Review
