The Building Data Lakes on AWS course offers an in-depth understanding of creating, managing, and utilizing Data lakes on the AWS cloud platform. This course is designed to help learners understand the value of Data lakes, differentiate them from data warehouses, and recognize the crucial components that make up a data lake. It covers essential topics such as data ingestion, cataloging, preparation, and processing with AWS services like AWS Glue, Amazon Athena, and AWS Lake Formation.

Key areas covered in the course:

• Data Lake Fundamentals: Understanding the value and components of data lakes compared to traditional data warehouses.
• Data Ingestion and Processing: Using AWS Glue for data cataloging, preparation, and processing.
• Data Analysis: Querying and analyzing data efficiently with Amazon Athena.
• Building Data Lakes with AWS Lake Formation: Setting up and managing data lakes using AWS Lake Formation.
• Automation and Security: Automating data lake creation, enforcing security policies, and managing access control.
• Data Visualization: Using Amazon QuickSight to visualize data and AWS Lake Formation FindMatches to manage data.

By the end of this course, learners will:

• Understand the core concepts of data lakes and how they differ from data warehouses.
• Learn to use AWS services for data ingestion, cataloging, preparation, and analysis.
• Gain hands-on experience in setting up and managing data lakes with AWS Lake Formation.
• Learn to automate data lake creation and enforce security controls.
• Develop skills to visualize data and match records using AWS services.

This course is designed for IT professionals focused on data management and analytics, including Data Engineers, Data Scientists, and Cloud Architects.

Course Prerequisites

The course assumes the following background knowledge:

• Basic understanding of data storage, processing, and analysis concepts.
• Familiarity with AWS services, especially data-related services like S3 and Glue.
• Basic experience with cloud computing concepts and AWS platform.

Target Audience

This course is ideal for:

• Data Engineers

• Data Scientists

• Data Analysts

• Cloud Architects

• IT Managers

• Database Administrators

• Big Data Specialists

• Business Intelligence Professionals

• System Administrators

• Developers interested in data lake architectures

Why Choose us

⭢ Live Online Training (Duration : 8 Hours)

⭢ Guaranteed to run classes

⭢ Experienced & certified trainers

⭢ Query Handling session

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Learning Objectives

After completing the Building Data Lakes on AWS course, learners will be able to:

• Understand the concepts and value of data lakes compared to data warehouses.
• Learn how to build and manage a data lake on AWS using AWS Lake Formation.
• Use AWS Glue for data cataloging and preparation for storage and analysis.
• Analyze data efficiently with Amazon Athena within a data lake.
• Implement security policies and automate data lake creation with AWS Lake Formation.
• Visualize and match data effectively using AWS services like QuickSight and Lake Formation FindMatches.