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The modern data stack: Tim Harrison speaks to Tristan Handy

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Manage episode 364714742 series 3442226
Content provided by Hg. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hg 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://player.fm/legal.
As CEO of dbt Labs, Tristan Handy finds himself at the centre of the "modern data stack" of many leading businesses. But what defines the modern approach to data, what came before and where is it likely to go next? Tristan speaks to Hg's own data expert, Tim Harrison. The past saw big data projects fail under their own weight: taking so much resource to build and redirect that needs could move on before results were available. The modern data stack is more nimble, value-centric and without the language walls between major players that stopped businesses from being able to experiment. The industry has evolved into a multitude of different solutions to specific problems but when does that become confusing and counter-productive and where will the solution to that problem take us?
  continue reading

35 episodes

Artwork
iconShare
 
Manage episode 364714742 series 3442226
Content provided by Hg. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hg 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://player.fm/legal.
As CEO of dbt Labs, Tristan Handy finds himself at the centre of the "modern data stack" of many leading businesses. But what defines the modern approach to data, what came before and where is it likely to go next? Tristan speaks to Hg's own data expert, Tim Harrison. The past saw big data projects fail under their own weight: taking so much resource to build and redirect that needs could move on before results were available. The modern data stack is more nimble, value-centric and without the language walls between major players that stopped businesses from being able to experiment. The industry has evolved into a multitude of different solutions to specific problems but when does that become confusing and counter-productive and where will the solution to that problem take us?
  continue reading

35 episodes

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