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Based on above work, this proposal aims to build a mechanism for handling table resource in backend and design API for ResourcePool. This will bring Zeppelin to 

  • register the table result as a shared resource

  • list all available (registered) tables

  • preview tables including its meta information (e.g columns, types, ..)

  • download registered tables as CSV, and other formats.

  • pivoting / filtering in backend to transforming larger data

  • cross join tables in different interpreters (e.g Spark interpreter uses a table result generated from JDBC interpreter)

 

For more future work tasks, please refer the 7. Potential Future Work section

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