Use Big Data Management to collect diverse data faster, build business logic in a visual environment, and eliminate hand-coding to get insights on your data. Consider implementing a big data project in the following situations:

The volume of the data that you want to process is greater than 10 terabytes.
You need to analyze or capture data changes in microseconds.
The data sources are varied and range from unstructured text to social media data.

You can perform run-time processing in the native environment or in a non-native environment. The native environment is the Informatica domain where the Data Integration Service performs all run-time processing. Use the native run-time environment to process data that is less than 10 terabytes. A non-native environment is a distributed cluster outside of the Informatica domain, such as Hadoop or Databricks, where the Data Integration Service can push run-time processing. Use a non-native run-time environment to optimize mapping performance and process data that is greater than 10 terabytes.