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Based on these works, this proposal aims to build a mechanism for handling table resource in backend and design API for the resource pool. 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)
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