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Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: A method to describe data. Available formats: date, datetime, number, integer, string.
Key Concepts: Storage format is a feature of SAP Predictive Analytics that allows users to store their data in a format that is optimized for predictive analytics. This format is designed to make it easier for users to access and analyze their data, as well as to improve the performance of predictive analytics algorithms. How to use it: To use the storage format feature, users must first select the data they want to store in the format. This can be done by selecting the data from a database or by importing it from a file. Once the data has been selected, users can then choose the storage format they want to use. The available formats include CSV, JSON, and Parquet. Tips & Tricks: When selecting a storage format, it is important to consider the type of data being stored and the type of analysis that will be performed on it. For example, if the data is highly structured and will be used for machine learning algorithms, then a Parquet format may be more suitable than a CSV or JSON format. Related Information: For more information on storage formats and how they can be used in SAP Predictive Analytics, please refer to the official SAP documentation. Additionally, there are many online resources available that provide tutorials and tips on using storage formats in SAP Predictive Analytics.