Hello, and welcome to the final lecture in this course, where I want to quickly summarize what we’ve covered.

In this course, we learned all about SAP HANA Data Tiering on AWS. Data tiering is a strategy for managing your data that allows you to right-size and optimize your HANA deployments by separating your data into hot, warm, and cold tiers based on how frequently the data needs to be accessed or updated.

In the hot tier, all of your mission-critical data is stored in memory directly on your SAP HANA instances, where it can be queried and updated in near real-time. The warm tier allows you to offload some of this data, leveraging disk-based storage on separate instances for less critical data that still needs to be queried and updated. Data in the warm tier is displayed transparently alongside data in the hot tier to abstract this implementation away from your users and applications. And finally, the cold tier allows you to leverage inexpensive storage such as sc1 EBS volumes and Amazon S3 Glacier for long-term storage of archive data that never needs to be updated.

That brings me to the end of this lecture, and to the end of this course. You should now have a greater understanding of the various options you have when implementing Data Tiering for your SAP HANA deployments on AWS.

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Thank you so much for your time and best of luck with your continued learning!