SAP HANA SPS 11 has just been released. If you want to delve deeper and see working examples of what’s new in predictive then this blog can serve as your starting point.
A key aspect of predictive in this release is the introduction of machine learning algorithms to SAP HANA Smart Data Streaming. This allows you to address scenarios such as IoT where transactional, streaming, analytical, and predictive processing converge. Significant effort has gone into providing algorithms that can run against live (often event-based) streaming data using machine leaning techniques. A key aspect of this approach is that models can be refined and improved on a continuously – without ever having to load the underlying data into SAP HANA.
Here are direct links to video tutorials showing the machine learning capabilities added to SAP HANA Smart Data Streaming:
Clustering and Outlier Detection
We’ve also published a tutorial for each new or enhanced SAP HANA predictive analysis library (PAL) algorithm:
Here’s the main playlist for what’s new: Predictive Analytics – What’s New SPS 11
Finally, if you’re interested in other stuff that’s new for SPS 11 check out the following playlist: SAP HANA SPS 11 – What’s New