Building Data Lakes on AWS
In this course, you will learn how to build an operational data lake that supports the analysis of structured and unstructured data. You will learn the components and features of the services involved in building a data lake. You will use AWS Lake Formation to create a data lake, AWS Glue to create a data catalog, and Amazon Athena to analyze the data. The course lectures and labs further your learning by exploring several common data lake architectures.
COD: AW-BDLA
Categorie: AWS
DESCRIPTION
COURSE OBJECTIVES
COURSE CONTENT
ADDITIONAL INFORMATION
DESCRIPTION
Who should participate
This course is aimed at:
- Data platform engineers
- Solution architects
- IT professionals
Prerequisites
- Completion of the AWS Technical Essentials 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.
- Discuss the components and services required for building an AWS data lake.
- Secure a data lake with proper permissions
- Ingest, store, and transform data in a data lake
- Query, analyze and visualize data within a data lake
COURSE CONTENT
- Module 1: Introduction to data lakes
- Module 2: Data Ingestion, Cataloging and Preparation
- Module 3: Data processing and analysis
- Module 4: Building a Data Lake with AWS Lake Formation
- Module 5: Additional Lake Formation Configurations
- Module 6: Course Architecture and Review
ADDITIONAL INFORMATION
Duration – 1 day
Delivery – in Classroom, On Site, Remote
PC and SW requirements:
- Internet connection
- Web browser, Google Chrome
- Zoom
Language
Instructor: English
Workshop: English
Slides: English
