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Building Data Lakes on AWS Course Overview

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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Successfully delivered 11 sessions for over 233 professionals

Intermediate

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Course Fee 675
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(without exam) 		675 (USD)
  • Live Training (Duration : 8 Hours)
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  • Includes Official Coursebook
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  • Live Training (Duration : 8 Hours)
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  • Includes Official Coursebook

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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.

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