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Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: Abstraction layer on a database schema that contains information about components and analyses.
Key Concepts: A metadata repository is a database that stores information about the data stored in other databases. It is used to store information about the structure of the data, such as the names of tables, columns, and fields, as well as other information such as data types and relationships between tables. In SAP Predictive Analytics, a metadata repository is used to store information about the models and algorithms used in predictive analytics. How to use it: The metadata repository in SAP Predictive Analytics can be used to store information about the models and algorithms used in predictive analytics. This information can be used to track changes in models over time, as well as to compare different models and algorithms. Additionally, the metadata repository can be used to store information about data sources, such as the names of tables and columns, as well as data types and relationships between tables. Tips & Tricks: When using the metadata repository in SAP Predictive Analytics, it is important to keep track of changes in models over time. This can help ensure that models are up-to-date and accurate. Additionally, it is important to keep track of data sources and their associated data types and relationships between tables. This can help ensure that data is properly organized and can be easily accessed when needed. Related Information: For more information on metadata repositories in SAP Predictive Analytics, please refer to the official SAP documentation here: https://help.sap.com/viewer/predictive-analytics/3.2/en-US/f9f8d7a7c9e14b6f8d3a5b2c9f8d7a7c.html
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