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Build a Data Warehouse with AWS

Master AWS data warehousing with Amazon Redshift. Learn data modeling, ETL processes, and optimize query performance for efficient data analysis.

Master AWS data warehousing with Amazon Redshift. Learn data modeling, ETL processes, and optimize query performance for efficient data analysis.

Embark on a comprehensive journey into AWS data warehousing with this practical course. Learn to harness Amazon Redshift's capabilities for robust data management. Master essential skills in data modeling, ETL processes, and performance optimization. Designed for data professionals and engineers, this course provides hands-on experience in building and managing scalable data warehouse solutions. Gain expertise in AWS services, security implementations, and best practices for efficient data analysis.

Instructors:

English

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Build a Data Warehouse with AWS

This course includes

15 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

What you'll learn

  • Configure and manage AWS services for data warehousing

  • Master Amazon Redshift architecture and implementation

  • Develop expertise in ETL processes and data modeling

  • Optimize query performance and monitor cluster health

  • Implement security best practices for data protection

  • Gain practical experience with serverless and provisioned clusters

Skills you'll gain

AWS data warehouse
Amazon Redshift
ETL processes
SQL
data modeling
cluster management
performance optimization
serverless computing
cloud architecture
database administration

This course includes:

461 Minutes PreRecorded video

21 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 4 modules in this course

This comprehensive course covers AWS data warehousing solutions with a focus on Amazon Redshift. Students learn essential AWS services, SQL fundamentals, and data warehousing concepts before diving deep into Amazon Redshift architecture and implementation. The curriculum includes hands-on experience with both serverless and provisioned clusters, data modeling, ETL processes, and performance monitoring. Special emphasis is placed on security, optimization, and real-world applications of data warehousing solutions.

Introduction to AWS Services

Module 1 · 4 Hours to complete

Empowering Data Warehousing using SQL and AWS

Module 2 · 2 Hours to complete

Fundamentals of Amazon Redshift

Module 3 · 3 Hours to complete

Build a Data Warehouse in Amazon Redshift

Module 4 · 5 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructor

Edureka
Edureka

45,069 Students

47 Courses

Inspiring the Next Generation of Tech Professionals

Edureka is dedicated to providing high-quality, instructor-led online training, empowering professionals to enhance their skills in various domains. The platform features a diverse team of experienced instructors who are passionate about teaching and possess extensive industry knowledge. These instructors facilitate a wide range of courses covering topics such as data science, artificial intelligence, machine learning, and cloud computing. Edureka's commitment to education is reflected in its innovative approach to learning, which includes interactive sessions, real-world projects, and 24/7 support for students. By fostering a collaborative learning environment, Edureka ensures that learners not only acquire technical skills but also develop critical thinking and problem-solving abilities essential for success in today's fast-paced job market.

Build a Data Warehouse with AWS

This course includes

15 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.