Overall SAP HANA DB uses

It’s a hot skill and its futuristic AP HANA allows parallel processing which is the core of efficient data analysis. This is how it works…we know that SAP HANA facilitates Columnar Data Storage in which operations such as searching for specific data or aggregating the data are done in loops over an array in adjacent memory locations. In contrast to this, in the traditional row-oriented approach, such operations tend to be very slow as data belonging to the same column is spread across the memory. Column-based storage also facilitates fast data loading into the CPU cache. As data is already vertically divided in a column-based approach, parallel processing is possible using multiple processing cores. Also, if more than one column is required to be searched or aggregated, each of these tasks can be allocated to a diverse processor core. Further, to quicken the process, operations on one column can be parallelized by dividing the column into various parts, each of which can be processed by different processor cores. This facilitates parallel processing!

SAP HANA provides real-time analysis and decision-making capability. It enables the processing of large amounts of data while the business is going on. Thus, it provides instant real-time insights. SAP HANA provides real-time analysis and decision-making capability.