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Simplifying Your Data Pipeline for Maximum Performance

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Manage episode 439487532 series 3366322
Content provided by Brick Thompson, Jon Thompson, Caleb Ochs, Landon Ochs, Brick Thompson, Jon Thompson, Caleb Ochs, and Landon Ochs. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Brick Thompson, Jon Thompson, Caleb Ochs, Landon Ochs, Brick Thompson, Jon Thompson, Caleb Ochs, and Landon Ochs 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://ro.player.fm/legal.

In this episode of The Dashboard Effect, hosts Brick and Caleb explore the essential steps to building efficient and reliable data pipelines. They discuss the critical factors in moving data from transactional systems to data lakes, highlight the importance of simplifying pipelines, and share practical strategies for handling pipeline failures, API connections, and ensuring scalability. Whether you're a data professional or a business leader looking to enhance your data processes, this episode offers valuable insights to guide you.
Enjoyed the episode? Hit Like, subscribe to our channel, and tap the bell icon to stay updated on the latest insights into data analytics and business intelligence.
Don't miss out on expert tips to help you optimize your data strategies!
Blue Margin increases enterprise value for PE-backed, mid-market companies by building and managing their data platforms. Our strategy, proven with over 250 companies to-date, expands multiples through data transformation, as presented in our book, The Dashboard Effect.
For a free, downloadable copy click https://bit.ly/3RmBGWQ, or buy a hardcopy or Kindle version on Amazon (https://amzn.to/3UTvTLm).
Get more episodes of The Dashboard Effect podcast on your favorite podcast app or at https://podcast.thedashboardeffect.com/
Visit Blue Margin's library of additional BI resources here: https://bit.ly/3fwNmcg

  continue reading

142 episoade

Artwork
iconDistribuie
 
Manage episode 439487532 series 3366322
Content provided by Brick Thompson, Jon Thompson, Caleb Ochs, Landon Ochs, Brick Thompson, Jon Thompson, Caleb Ochs, and Landon Ochs. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Brick Thompson, Jon Thompson, Caleb Ochs, Landon Ochs, Brick Thompson, Jon Thompson, Caleb Ochs, and Landon Ochs 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://ro.player.fm/legal.

In this episode of The Dashboard Effect, hosts Brick and Caleb explore the essential steps to building efficient and reliable data pipelines. They discuss the critical factors in moving data from transactional systems to data lakes, highlight the importance of simplifying pipelines, and share practical strategies for handling pipeline failures, API connections, and ensuring scalability. Whether you're a data professional or a business leader looking to enhance your data processes, this episode offers valuable insights to guide you.
Enjoyed the episode? Hit Like, subscribe to our channel, and tap the bell icon to stay updated on the latest insights into data analytics and business intelligence.
Don't miss out on expert tips to help you optimize your data strategies!
Blue Margin increases enterprise value for PE-backed, mid-market companies by building and managing their data platforms. Our strategy, proven with over 250 companies to-date, expands multiples through data transformation, as presented in our book, The Dashboard Effect.
For a free, downloadable copy click https://bit.ly/3RmBGWQ, or buy a hardcopy or Kindle version on Amazon (https://amzn.to/3UTvTLm).
Get more episodes of The Dashboard Effect podcast on your favorite podcast app or at https://podcast.thedashboardeffect.com/
Visit Blue Margin's library of additional BI resources here: https://bit.ly/3fwNmcg

  continue reading

142 episoade

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