What is in-database in SAP BI-RA-PA - SAP Predictive Analytics?

SAP Term: in-database

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: An analysis execution mode in which data processing is performed within the database using data mining capabilities. In this mode, the data is never taken out of the database for processing and therefore the processing speed is very high. This mode can be used to process large datasets. SAP HANA supports in-DB data mining through R integration and the Predictive Analysis Library PAL.

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• Key Concepts: 
  In-database is a feature of SAP Predictive Analytics that allows users to run predictive algorithms directly in the database. This means that the data does not need to be moved from the database to a separate environment for analysis. This feature allows for faster and more efficient analysis of large datasets.
  
  How to use it: 
  In-database can be used by selecting the “in-database” option when running a predictive algorithm. This will cause the algorithm to run directly in the database, rather than moving the data to a separate environment. This can be done through the SAP Predictive Analytics interface or through SQL commands.
  
  Tips & Tricks: 
  When using in-database, it is important to ensure that the database is optimized for predictive analytics. This includes ensuring that the database is properly indexed and that all necessary libraries are installed. Additionally, it is important to ensure that the database has enough memory and processing power to handle the analysis.
  
  Related Information: 
  In-database is part of SAP Predictive Analytics, which is a suite of tools designed to help users analyze large datasets and make predictions about future outcomes. Other features of SAP Predictive Analytics include automated machine learning, natural language processing, and data visualization.