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We're here to help you find itData 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.
Successfully delivered 9 sessions for over 28 professionals
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USD
View Fees Breakdown
Course Fee | 2,650 |
Exam Fee | 300 |
Total Fees (without exam) |
2,650 (USD) |
USD
View Fees Breakdown
Course Fee | 2,025 |
Exam Fee | 300 |
Total Fees (without exam) |
2,025 (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 exam & Labs) |
28,359 (INR) |
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You can request classroom training in any city on any date by Requesting More Information
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:
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.