Last Updated : 26 Oct 2024

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.

5.0

Successfully delivered 12 sessions for over 234 professionals

Intermediate

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900^♱

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

USD

675^♱

View Fees Breakdown

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

USD

^♱

View Fees Breakdown

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)

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Live Training (Duration : 8 Hours)
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Includes Official Coursebook

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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

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1-on-1 Training

Schedule personalized sessions based upon your availability.

Learn More

Customized Training

Learning without limits. Create custom courses that fit your exact needs, from blended topics to brand-new content.

Learn More

Happiness Guaranteed

Experience exceptional training with the confidence of our Happiness Guarantee, ensuring your satisfaction or a full refund.

Learn More

Destination Training

Immerse yourself in a focused learning environment, free from distractions, where you can sharpen your skills in popular global destinations.

Learn More

Fly-Me-A-Trainer (FMAT)

Flexible on-site learning for larger groups. Fly an expert to your location anywhere in the world.

Learn More

Koenig Solutions Private Limited is a finalist for the AWS Training Partner of the Year (APJ) 2024.

winner of the AWS Training Partner of the Year Award – APJ Region for 2022. The award was given in a glittering ceremony in Las Vegas attended by Subo

AWS Customer Obsession Award in August 2022.

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.