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A common IoT scenario is collecting data from various sensors and devices. Often communicating with different protocols and setups. To be able to use that data, the user must normalize and prepare the data for further processing.

This is a simple example of such scenario built in Crosser Flow Studio:

  1. Collect data from heterogeneous sources
  2. Remove invalid data
  3. Select relevant data
  4. Normalize data structures
  5. Add metadata
  6. Anonymize the data
  7. Filter and/or aggregate to reduce the amount of data, or to hide sensitive internal details

Try Crosser For Free

Start innovating today. How it works:

  1. Get an account
  2. Log in and start designing your flows in the sandbox
  3. Download the Crosser Container to your local test node
  4. Test with real data