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A tartalmat a Data as a Product Podcast Network biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Data as a Product Podcast Network vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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#279 Driving Towards a Cohesive Developer Experience - At the Expense of Snowflake and Databricks? - Zhamak's Corner 32

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Manage episode 390859501 series 3293786
A tartalmat a Data as a Product Podcast Network biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Data as a Product Podcast Network vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

Key Points:

  • We need API-first technologies in data. Not just offering APIs but being able to integrate seamlessly with each other via API. We have that in software but it's been a long-time coming in data. If we want an actual modern data stack, we need to have tooling providers make a real change.
  • Simple made easy: we need to make things simple for data product development and consumption. It's not simplistic but it removes unnecessary complexities.
  • Overall, there is such a trend in data where people aren't building things that remove toil - there is this assumption of increasing complexity of use cases but so much of the work is not that complicated. We need to make it so most people can do most of the work relatively easily without making it overly simplistic - easier said than done of course.

Sponsored by NextData, Zhamak's company that is helping ease data product creation.

For more great content from Zhamak, check out her book on data mesh, a book she collaborated on, her LinkedIn, and her Twitter.

Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/

Please Rate and Review us on your podcast app of choice!

If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here

Data Mesh Radio episode list and links to all available episode transcripts here.

Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.

If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/

All music used this episode was found on PixaBay and was created by (including slight edits by Scott Hirleman): Lesfm, MondayHopes, SergeQuadrado, ItsWatR, Lexin_Music, and/or nevesf

  continue reading

418 epizódok

Artwork
iconMegosztás
 
Manage episode 390859501 series 3293786
A tartalmat a Data as a Product Podcast Network biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Data as a Product Podcast Network vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

Key Points:

  • We need API-first technologies in data. Not just offering APIs but being able to integrate seamlessly with each other via API. We have that in software but it's been a long-time coming in data. If we want an actual modern data stack, we need to have tooling providers make a real change.
  • Simple made easy: we need to make things simple for data product development and consumption. It's not simplistic but it removes unnecessary complexities.
  • Overall, there is such a trend in data where people aren't building things that remove toil - there is this assumption of increasing complexity of use cases but so much of the work is not that complicated. We need to make it so most people can do most of the work relatively easily without making it overly simplistic - easier said than done of course.

Sponsored by NextData, Zhamak's company that is helping ease data product creation.

For more great content from Zhamak, check out her book on data mesh, a book she collaborated on, her LinkedIn, and her Twitter.

Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/

Please Rate and Review us on your podcast app of choice!

If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see here

Data Mesh Radio episode list and links to all available episode transcripts here.

Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.

If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/

All music used this episode was found on PixaBay and was created by (including slight edits by Scott Hirleman): Lesfm, MondayHopes, SergeQuadrado, ItsWatR, Lexin_Music, and/or nevesf

  continue reading

418 epizódok

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