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dispersion
by • New Contributor
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Running large volume of SQL queries in Python notebooks. How to minimise overheads/maintenance.

I have around 200 SQL queries id like to run in databricks python notebooks. Id like to avoid creating an ETL process for each of the 200 SQL processes.Any suggestions on how to run the queries in a way that it loops through them so i have minimum am...

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Anonymous
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Hi @Chris French​ Hope all is well! Just wanted to check in if you were able to resolve your issue and would you be happy to share the solution or mark an answer as best? Else please let us know if you need more help. We'd love to hear from you.Thank...

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abaschkim
by • New Contributor II
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Delta Lake table: large volume due to versioning

I have set up a Spark standalone cluster and use Spark Structured Streaming to write data from Kafka to multiple Delta Lake tables - simply stored in the file system. So there are multiple writes per second. After running the pipeline for a while, I ...

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Anonymous
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Hey there @Kim Abasch​ Hope all is well! Just wanted to check in if you were able to resolve your issue and would you be happy to share the solution or mark an answer as best? Else please let us know if you need more help. We'd love to hear from you....

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