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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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#273 An API-First World in Data Integration - An Actual Modern Data Stack - Zhamak's Corner 31

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Manage episode 386895066 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:

  • The rush to categorize all of our tooling in data has caused many issues - we will see a big shake-up coming in the future much like happened in application development tooling.
  • So much of data people's time is spent on things that don't add value themselves, it's work that should be automated. We need to fix that so the data work is about delivering value.
  • We can learn a lot from virtualization but data virtualization is not where things should go in general.
  • Containerization is merely an implementation detail. Much like software developers don't really care much about process containers, the same will happen in data product containers - it's all about the experience and containers significantly improve the experience.
  • The pendulum swung towards decoupled data tech instead of monolithic offerings with 'The Modern Data Stack' but most of the technologies were not that easy to stitch together. Going forward, we want to keep the decoupled strategy but we need a better way to integrate - APIs is how it worked in software, why not in data?

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 386895066 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:

  • The rush to categorize all of our tooling in data has caused many issues - we will see a big shake-up coming in the future much like happened in application development tooling.
  • So much of data people's time is spent on things that don't add value themselves, it's work that should be automated. We need to fix that so the data work is about delivering value.
  • We can learn a lot from virtualization but data virtualization is not where things should go in general.
  • Containerization is merely an implementation detail. Much like software developers don't really care much about process containers, the same will happen in data product containers - it's all about the experience and containers significantly improve the experience.
  • The pendulum swung towards decoupled data tech instead of monolithic offerings with 'The Modern Data Stack' but most of the technologies were not that easy to stitch together. Going forward, we want to keep the decoupled strategy but we need a better way to integrate - APIs is how it worked in software, why not in data?

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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