how to process data having complex datatypes in hive source table to flattened table?
We can process table contains complex datatypes by using explode option in source instance for all types of complex datatypes like struct, array, map in hive. If we enable this option, the extraction from source table will explode all complex datatype columns to flattened columns.
1. How does Diyotta do DevOps CI/CD ? 2. What is the pipeline deployment process ? 3. Can the Pipeline artifact be exported to Github, SVN ?
Project parameters are not getting replaced when we override them using the dicmd command
Is there an option to capture command task output, which can be used in consecutive transformations
How do I export multiple tasks and task groups present in scheduler
When we are trying to do a Test Data Point on Oracle connection, Timezone error is thrown
My Looper job iterations are staying in QUEUE state after first 10 iterations are completed
Does diyotta supports HDP 3.1.4 version, If so then how do we enable it?
When we are trying to connect to ORACLE with SSL enabled, we are unable to establish connection
