Data Warehousing on AWS training Course

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data warehousing on aws certification

Comprehensive, Interactive Classroom & Online Training

Extensive hands-on & Practical, skill-based approach

Internationally acclaimed Subject Matter Expertise with 25+ years of Industry and Training Experience

Course Designed According To Corporate Requirements

Overview Learning Objectives Schedules Who Should Attend Prerequisite Outline

Data Warehousing on AWS Course Overview

This Data Warehousing on AWS course is designed to equip learners with the essential skills and knowledge needed to harness the power of Amazon Web Services (AWS) for building and managing data warehouses effectively. Throughout this comprehensive program, participants will delve into the intricacies of data warehousing concepts, coupled with practical hands-on experience in utilizing AWS services for this purpose.

The course begins by establishing a solid understanding of data warehousing fundamentals, including data modeling, ETL (Extract, Transform, Load) processes, and dimensional modeling techniques. Learners will then transition into exploring AWS-specific tools and services tailored for data warehousing, such as Amazon Redshift, Amazon Aurora, and AWS Glue.

Through a blend of theoretical lectures and practical exercises, participants will learn how to design, implement, and optimize data warehouse solutions on AWS, considering factors like scalability, performance, and cost-effectiveness. They will gain insights into best practices for data ingestion, storage, and analysis, leveraging AWS's robust infrastructure and advanced features.

Moreover, the course covers topics like data security, compliance, and governance within an AWS data warehousing environment, ensuring that learners are well-versed in safeguarding sensitive information and adhering to regulatory requirements.

By the end of the program, participants will emerge with the skills and confidence to architect, deploy, and manage scalable data warehousing solutions on AWS, empowering them to drive informed decision-making and extract valuable insights from their data assets.

Course Objectives

Upon completing the course, you will be able to:

Understand the fundamentals of data warehousing and its importance in modern business analytics.
Gain proficiency in utilizing Amazon Web Services (AWS) for building and managing data warehouses.
Learn the principles of data modeling and dimensional modeling for effective data organization.
Master the Extract, Transform, Load (ETL) processes and techniques essential for data integration in AWS.
Acquire hands-on experience with AWS services such as Amazon Redshift, Amazon Aurora, and AWS Glue for data warehousing.
Develop skills in designing scalable and efficient data warehouse solutions on AWS infrastructure.
Explore best practices for data ingestion, storage, and analysis in AWS data warehousing environments.
Understand the principles of data security, compliance, and governance in AWS data warehousing.
Optimize performance and cost-effectiveness of data warehouse solutions on AWS.
Apply learned concepts and skills to architect, deploy, and manage real-world data warehouse projects effectively.

Skills You Will Acquire:

Proficiency in AWS data warehousing services.
Data modeling and dimensional modeling expertise.
Hands-on experience with ETL processes using AWS Glue.
Optimization techniques for AWS data warehouse performance.
Knowledge of data security and compliance in AWS environments.

Schedules

Audience

This course is designed for:

Database architects
Database administrators
Database developers
Data analysts
Data scientists

Eligibility Criteria

Interested candidates must fulfil the below prerequisites before taking this course:

Completion of the AWS Technical Essentials course or have equivalent experience
Familiarity with relational databases and database design concepts

Course Outline

Day 1

Course Introduction
Introduction to Data Warehousing
Introduction to Amazon Redshift
Understanding Amazon Redshift Components and Resources
Launching an Amazon Redshift Cluster

Day 2

Reviewing Data Warehousing Approaches
Identifying Data Sources and Requirements
Designing the Data Warehouse
Loading Data into the Data Warehouse

Day 3

Writing Queries and Tuning Performance
Maintaining the Data Warehouse
Analyzing and Visualizing Data
Course Summary

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3 Days Instructor led Online Training
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24*7 learner assistance and support

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Instructor Led Skill Development Program
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FAQ’s

Why should I learn Data Warehousing on AWS course from Vinsys?

Vinsys has some of the world-class trainers for AWS courses. Being in the training industry for over two decades now, they thrive to deliver their best with every course. Trainers at Vinsys ensure concepts are well-understood and that learning happens both theoretically as well as practically. You can trust their training strategies and methodologies as they are as per the latest industry trends.

What are the prerequisites of this course?

To take the Data Warehousing on AWS course, you have to complete the AWS Technical Essentials course (or equivalent).

Is this course associated with any certification?

No, this course is independent and is not associated with any certification.

Is AWS Redshift OLAP or OLTP?

Redshift is a type of OLAP database.

What is the duration of this course?

This is a 3-day course.

What is the exam retake policy for AWS Certifications?

In case you fail an exam, you can retake the certification exam after 14 days. There is no limit on number of attempts but you will have to pay the full registration fee for each attempt.