Building Data Lakes on AWS Training

Building Data Lakes on AWS Course Overview

The "Building Data lakes on AWS" course provides a comprehensive guide to creating, managing, and utilizing Data lakes on the AWS cloud platform. It 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. The course covers essential topics such as Data ingestion, Cataloging, preparation, and processing using a variety of AWS services, including AWS Glue, Amazon Athena, and AWS Lake Formation.

Learners will gain practical experience through hands-on labs, setting up a simple data lake, building a data lake with AWS Lake Formation, Automating data lake creation, and Data Visualization using Amazon QuickSight. By the end of the course, participants will have a solid understanding of building Data lakes on AWS, and will be equipped with the skills to build a data lake on AWS effectively, ensuring they can leverage the full potential of their data assets in the cloud.

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Target Audience for Building Data Lakes on AWS

This AWS data lake course offers in-depth training on setting up and managing data lakes, ideal for IT professionals focused on data management and analytics.

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

Learning Objectives - What you will Learn in this Building Data Lakes on AWS?

Introduction to Learning Outcomes:

The Building Data Lakes on AWS course is designed to equip students with the skills needed to effectively construct, manage, and utilize data lakes on the AWS platform, focusing on concepts such as storage, processing, analysis, and security.

Learning Objectives and Outcomes:

Understand the fundamental value and concepts of data lakes compared to traditional data warehouses.

Learn the key components that constitute a data lake and explore common architectures integrating data lakes.

Gain knowledge of data ingestion methods, cataloging with AWS Glue, and preparation techniques for optimal data storage and retrieval in AWS.

Acquire hands-on experience in setting up a basic data lake on AWS through practical labs.

Recognize the importance of data processing within a data lake and how to apply these concepts using AWS Glue.

Learn to analyze data efficiently using Amazon Athena within a data lake environment.

Explore the features, benefits, and security model of AWS Lake Formation for creating and managing data lakes.

Gain practical skills in building a data lake using AWS Lake Formation through guided laboratory exercises.

Understand how to automate data lake creation with AWS Lake Formation blueprints and workflows and enforce security and access controls.

Develop the ability to match records and visualize data effectively using AWS Lake Formation FindMatches and Amazon QuickSight, respectively.

Course Fee	900
Exam Fee	150
Total Fees (without exam)	900 (USD)

Course Fee	675
Exam Fee	150
Total Fees (without exam)	675 (USD)

Flexi Video	16,449
Official E-coursebook
Exam Voucher (optional)
Hands-On-Labs²	4,159
+ GST 18%	4,259
Total Fees (without exam & Labs)	22,359 (INR)
Total Fees (with Labs)	28,359 (INR)

Building Data Lakes on AWS Course Overview

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Koenig's Unique Offerings

Target Audience for Building Data Lakes on AWS

Learning Objectives - What you will Learn in this Building Data Lakes on AWS?

Introduction to Learning Outcomes:

Learning Objectives and Outcomes:

Suggested Courses

Building Data Lakes on AWS Course Overview

900 ♱

675 ♱

♱

Fee On Request

Filter By:

Request More Information

Koenig's Unique Offerings

Target Audience for Building Data Lakes on AWS

Learning Objectives - What you will Learn in this Building Data Lakes on AWS?

Introduction to Learning Outcomes:

Learning Objectives and Outcomes:

Suggested Courses

900^♱

675^♱

^♱