COURSE OBJECTIVE:
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
TARGET AUDIENCE:
This course is intended for Data platform engineers, Solutions architects, & IT professionals
COURSE PREREQUISITES:
We recommend that attendees of this course have:
• One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals digital course
COURSE CONTENT:
Module 1: 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
Module 2: 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
Module 3: 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
Module 4: 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
Module 5: 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
Module 6: Architecture and course review
• Post course knowledge check
• Architecture review
• Course review
FOLLOW ON COURSES:
Not available. Please contact.