The Nuts & Bolts of SAP Predictive Analytics Video Series
In this blog we want to introduce “The Nuts & Bolts of SAP Predictive Analytics” YouTube Video Series. In this series Pierre Leroux, Priti Mulchandani and I have created a number of short 2-3 minute videos to highlight some important predictive use cases.
- Data Preparation: In the first installment we walk-through how to prepare your data using SAP HANA as a data source. In this short video we highlight some of the key features in SAP Predictive Analytics – Data Manager that enable users to join, aggregate, expand and derive attributes from data sets for use in predictive modeling.
- Automated Analytics: We then focus on SAP Predictive Analytics – Automated Analytics and demonstrate how the wizard-like approach enables users who may not have a degree in Maths to train, build, and test a predictive model.
- Real Time with SAP HANA: Next we watch how SAP Predictive Analytics – Automated & Expert Analytics helps you train and apply predictive models in SAP HANA and also easily embed predictive models into your applications and score your data in real time.
- Native Spark Modeling: In our latest installment we learn how SAP Predictive Analytics helps you to delegate the predictive modeling processing to Spark on Hadoop and avoid time-consuming data transfer between the predictive engine and the data source.
We will continue to add useful bite-size predictive videos using the SAP Predictive Analytics Suite. Please check back in to SCN or to the Analytics Solutions from SAP YouTube channel for more videos: The Nuts & Bolts of SAP Predictive Analytics – YouTube
Hi Team You have mentioned the following for Spark or Hadoop "avoid time-consuming data transfer between the predictive engine and the data source." Does this apply to using Hana as datasource as well . When we connect to HANA via ODBC connection I would believe that the processing would happen in the HANA server and not on my local desktop machine.The training data would not be transferred desktop and Hana Server, only the results of the processing would be transferred . Thus I would build a model using automated analysis and publish the model back to HANA and then use the model to do predictions and retrain model using the model manager Please let me know if my understanding is correct. Thank you
Yes, your understanding is correct :-). Good summary!
Trying to follow this procedure for data preparation with my data which is stored in HANA. New analytical record is greyed out, so I select new entity and select my users table and user_id field. Then I get an error "Invalid license for this type of data manipulation". The new entity appears in the list, but the error reappears if I click on new analytical record.
Hi Grace, do you know if your license is only for desktop or it if licenses the full suite? I would suspect you only have a desktop license which means you cannot use Data Manager...