Hello, and welcome to this course, which will provide an overview of SAP HANA Data Tiering on AWS.

Before we get started, I would like to introduce myself. My name is Danny Jessee, and I am one of the trainers here at Cloud Academy, specializing in AWS–Amazon Web Services–and AWS certifications. Feel free to contact me with any questions using the details shown on the screen, or you can always get in touch with us here at Cloud Academy by sending an email to support@cloudacademy.com, where one of our Cloud experts will reply to your question.

This course has been created for anyone who is responsible for implementing and managing SAP HANA workloads on AWS, as well as anyone who is looking to take the AWS Certified: SAP on AWS - Specialty exam.

By the end of this course, you’ll have a greater understanding of the choices you need to make when implementing Data Tiering for SAP HANA on AWS. Data Tiering is a strategy for managing your SAP HANA data that allows you to right-size and optimize your HANA deployment by separating the data you store into hot, warm, and cold tiers based on characteristics such as how frequently different types of data need to be accessed or updated. You’ll see how to reduce your SAP HANA system memory requirements by leveraging additional EC2 instances in a scale-out deployment, or AWS storage services such as the Elastic File System and Amazon S3 to store less critical data in warm and cold tiers.

To get the most out of this course, you should have a basic understanding of SAP HANA, Amazon EC2, and S3. To learn more about EC2 instances and storage options for SAP workloads on AWS, I invite you to check out these courses:

Here at Cloud Academy, we strive to keep our content current to provide the best training available. If you have any feedback, positive or negative, or if you notice anything that needs to be updated or corrected for the next release cycle, please reach out to us at support@cloudacademy.com. Thank you!