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AW270: Building Data Lakes on AWS™

Training: AWS™ - Cloud

Participants learn how to build a productive data lake on AWS™ and analyze both structured and unstructured data. The course covers components and services such as AWS™ Lake Formation, AWS™ Glue, and Amazon Athena. Presentations, labs, and group exercises deepen knowledge of typical data lake architectures and their practical application.

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Possible course languages: German

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Would you like to request an appointment? Then click on 'No matching appointment?'

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Agenda:

Introduction to data lakes
- Describe the value of data lakes
- Compare data lakes and data warehouses
- Describe the components of a data lake
- Recognize common architectures built on data lakes

Data ingestion, cataloging, and preparation
- Describe the relationship between data lake storage and data ingestion
- Describe AWS™ Glue crawlers and how they are used to create a data catalog
- Identify data formatting, partitioning, and compression for efficient storage and query
- Lab 1: Set up a simple data lake

Data processing and analytics
- Recognize how data processing applies to a data lake
- Use AWS™ Glue to process data within a data lake
- Describe how to use Amazon Athena to analyze data in a data lake

Building a data lake with AWS™ Lake Formation
- Describe the features and benefits of AWS™ Lake Formation
- Use AWS™ Lake Formation to create a data lake
- Understand the AWS™ Lake Formation security model
- Lab 2: Build a data lake using AWS™ Lake Formation

Additional Lake Formation configurations
- 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
- Lab 3: Automate data lake creation using AWS™ Lake Formation blueprints
- Lab 4: Data visualization using Amazon QuickSight

Architecture and course review
- Post course knowledge check
- Architecture review
- Course review

Objectives:

In this course AW270 Building Data Lakes on AWS™, 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

Target audience:

This course AW270 Building Data Lakes on AWS™ is intended for:

Data platform engineers
Solutions architects
IT professionals

Prerequisites:

To participate in the course AW270 Building Data Lakes on AWS™ at qSkills™, you should have completed the following AWS™ training:

Data Analytics Fundamentals
AW110 AWS™ Technical Essentials

Description:

In this course AW270 Building Data Lakes on AWS™, 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 AW270 Building Data Lakes on AWS™ includes presentations, lecture, hands-on labs, and group exercises.