AWS Data Engineering Online Training | Multisoft Virtual Academy
AWS Data Engineering Online Training by Multisoft Virtual Academy is a comprehensive course that covers all aspects of data engineering on AWS.
The course is taught by experienced AWS Data Engineers and includes a variety of hands-on exercises.
The course is ideal for data engineers, data scientists, data analysts, and IT professionals.
The course covers the following topics:
- Introduction to AWS Data Engineering
- AWS Data Storage
- AWS Data Processing
- AWS Data Visualization
- AWS Data Security
- AWS Data Governance
By the end of the course, you will be able to:
- Design and implement data pipelines on AWS
- Use AWS data storage services
- Use AWS data processing services
- Use AWS data visualization services
- Use AWS data security services
- Use AWS data governance services
The course is available on-demand and can be accessed from anywhere in the world.
The course is self-paced, so you can learn at your own pace.
The course includes a variety of resources, including video lectures, hands-on exercises, and quizzes.
To learn more about the course or to enroll, please visit the Multisoft Virtual Academy website.
Here are some additional benefits of taking the AWS Data Engineering Online Training by Multisoft Virtual Academy:
- You will learn from experienced AWS Data Engineers who have real-world experience building and managing data pipelines on AWS.
- You will have access to a variety of hands-on exercises that will help you apply what you learn in real-world scenarios.
- You will receive a certificate of completion upon successful completion of the course.
If you are interested in learning how to build and manage data pipelines on AWS, then I encourage you to take the AWS Data Engineering Online Training by Multisoft Virtual Academy.
Visit us – https://www.multisoftvirtualacademy.com/cloud-computing/aws-data-engineering-online-training
Overview
- Category : Training & Certifications
Business Hours
| Open | Close | ||
|---|---|---|---|
| Monday | Open (24 Hours) | ||
| Tuesday | Open (24 Hours) | ||
| Wednesday | Open (24 Hours) | ||
| Thursday | Open (24 Hours) | ||
| Friday | Open Today (24 Hours) | ||
| Saturday | Open (24 Hours) | ||
| Sunday | Open (24 Hours) | ||
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