Save costs on your HANA Hot Memory and start managing its growth
Your BW on HANA, BW/4 HANA or HANA Native SQL Data Warehouse keeps growing in size, year after year. Don't buy more hot memory licenses and hardware just yet. Put SAP HANA Data Tiering into a best practice and make optimal use of HANA NSE.
Overview
Reduce your HANA Hot Memory Footprint and save on TCO
As HANA BI databases keep growing, on-premise hot memory storage and license costs keep rising. Also when moving a HANA BI system to the cloud, optimising storage beforehand will drive cloud storage and capacity unit charges down.
Get technical and functional insights needed to perform HANA Data Tiering
HANA Data Tiering is the answer: only keep recent and currently used data in hot and move older and less used data to cheaper warm or cold storage layers. How to decide what data from which tables can be moved? You'll need technical and functional insights and close collaboration with Business & IT.
Engage with experts to define your long term Data Tiering strategy
With the insights delivered with our hot memory profiling tool, our expert team engages with your technical and functional team to define the optimal data tiering strategy and a detailed 3-step execution (Identify, Gain, Sustain)
Details
Solution type
Extensions and Add-ons
Industry
Cross-Industry, Retail, Utilities, Wholesale Distribution, Telecommunications
Compatibility
Works with
SAP HANA, enterprise edition
Features
Full-Service TCO optimisation offering
We offer a complete service to help you reach a better TCO. Our Experts engage with your technical and functional team in a three-staged approach, to educate and help them execute this data tiering best practice.
We help you to reach returning gains in 3 steps
1) understanding your current setup and data tiering strategy. Identify the not-hot potential by running the hot memory profiler at regular intervals. Define tables and partitioning criteria with business & IT 2)a PoC on Top table 2)b Data Tiering execution & NSE 3) repeat 1) & 2)b.
Results: Dutch Retail Bank case
Must break that projected curve! A large Dutch Retail Bank was inclined to change HANA BI altogether if license and hardware costs would grow as projected. With our managed approach to DataTiering they created ample room for growth and kept agile in their business value delivery. No re-platforming!
