The Raw Data from various channels like sensors, instruments, social media usually has to be processed to filter the 'noise or junk data that has no business value' before it be consumed by business system.
When Big Data is created by a system (a device or an enterprise application or an external source like Facebook) it can either be directly consumed (Ex- For Complex Event Processing) or the data has to be pre-processed before storing in database and this moving data is called as 'Data in Motion'.
When data is finally stored in some database or a warehouse it is called 'Data at Rest'. There are different benefits that can be extracted from 'Data in Motion & Data at Rest' and the chart below explains the typical steps followed in Big Data processing before Big Data is leveraged for some business outcome. To perform analytic on the data it has to be pre-processed and stored in a database - analytics cannot be performed on raw Big Data.
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