Data Warehousing on AWS Course Overview

Last Updated : 19 Feb 2025

Data Warehousing on AWS Course Overview

The AWS Data Warehousing Training course provides an in-depth look into the world of cloud-based data warehousing using Amazon Web Services. It is designed for learners to gain mastery over AWS's data warehousing solutions, focusing on Amazon Redshift, a fast, scalable, and fully managed data warehouse service.

Module 1 sets the foundation with an introduction to Data warehousing concepts, a deep dive into Amazon Redshift, and practical steps on Launching Redshift clusters. Module 2 progresses into the intricacies of Designing efficient database schemas, identifying various data sources, and the methods for Loading data into Redshift. Module 3 rounds out the learning with advanced topics like Writing optimized queries, utilizing Amazon Redshift Spectrum for querying exabytes of data, Maintaining the health of clusters, and analyzing and visualizing the stored data.

By the end of this AWS Data Warehousing Training, learners will be well-equipped to handle data warehousing tasks on AWS, enabling them to support data-driven decisions within their organizations.

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Course Fee	2,650
Exam Fee	300
Total Fees (without exam)	2,650 (USD)

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2,025^♱

View Fees Breakdown

Course Fee	2,025
Exam Fee	300
Total Fees (without exam)	2,025 (USD)

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^♱

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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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1-on-1 Training

Schedule personalized sessions based upon your availability.

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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.

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Target Audience for Data Warehousing on AWS

Data Warehousing on AWS is designed to equip professionals with the skills to manage and analyze large-scale data using Amazon Redshift.

Target audience for the course includes:

Data Engineers
Database Administrators
Business Intelligence Professionals
Data Analysts
IT Managers overseeing data management teams
Cloud Solutions Architects
Data Scientists interested in data warehousing solutions
Developers working on big data analytics
System Administrators managing cloud infrastructure
Technical Project Managers involved in data-centric projects
Professionals seeking AWS Certification in Big Data and Data Analytics

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

Introduction to Course Learning Outcomes:

The Data Warehousing on AWS course equips students with the know-how to effectively leverage Amazon Redshift for building scalable data warehouses, perform data analysis, and optimize data query performance.

Learning Objectives and Outcomes:

Understand the fundamentals of data warehousing and the role of Amazon Redshift in data warehousing solutions.
Gain hands-on experience launching and configuring Amazon Redshift clusters to meet data warehousing requirements.
Learn to design robust and scalable database schemas tailored for data warehousing needs.
Identify and integrate various data sources for data ingestion into Amazon Redshift.
Master the process of loading data into Amazon Redshift with best practices for efficiency and reliability.
Develop proficiency in writing complex SQL queries and optimizing query performance in a Redshift environment.
Explore Amazon Redshift Spectrum for querying exabytes of data in S3 without loading it into Redshift clusters.
Acquire skills for maintaining and monitoring the health and performance of Amazon Redshift clusters.
Enhance the ability to analyze and visualize data using Amazon Redshift and complementary AWS services.
Understand best practices for security, cost management, and scaling in the context of AWS data warehousing.