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OLTP To Parquet For Analytics | Scaling Postgres 353
Manage episode 467006840 series 2140130
Content provided by [email protected] (Ruby Tree Software Inc) and Creston Jamison. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by [email protected] (Ruby Tree Software Inc) and Creston Jamison or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
In this episode of Scaling Postgres, we discuss how data can flow from your OLTP to parquet files for analytics, parallel queries, view inlining and partitioning advice.
To get the show notes as well as get notified of new episodes, visit:
https://www.scalingpostgres.com/episodes/353-oltp-to-parquet-for-analytics/
Want to learn more about Postgres performance? Join my FREE training called Postgres Performance Demystified here: https://www.scalingpostgres.com/courses/postgres-performance-demystified/
541 episodes
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Manage episode 467006840 series 2140130
Content provided by [email protected] (Ruby Tree Software Inc) and Creston Jamison. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by [email protected] (Ruby Tree Software Inc) and Creston Jamison or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
In this episode of Scaling Postgres, we discuss how data can flow from your OLTP to parquet files for analytics, parallel queries, view inlining and partitioning advice.
To get the show notes as well as get notified of new episodes, visit:
https://www.scalingpostgres.com/episodes/353-oltp-to-parquet-for-analytics/
Want to learn more about Postgres performance? Join my FREE training called Postgres Performance Demystified here: https://www.scalingpostgres.com/courses/postgres-performance-demystified/
541 episodes
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