DataKitchen

@datakitchen_io

Reclaim control of your end-to-end data processes and deliver value instantly, without errors. delivered. (+hiring!)

Joined January 2015

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  1. 9 hours ago
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  2. 20 hours ago

    Sign the DataOpsManifesto: Principle #17: - We believe a foundational aspect of insight manufacturing efficiency is to avoid the repetition of previous work by the individual or team.

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  3. Sep 6

    Sign the DataOpsManifesto:  Principle #16: Monitor and performance - Our goal is to have performance and quality measures that are monitored continuously to detect unexpected variation and generate operational statistics.

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  4. Sep 6

    'The most relevant content I've heard in 2020.' Listen to Lars Albertson's experience with at Spotify.

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  5. Sep 5

    Sign the DataOpsManifesto: Principle #15: is paramount - pipelines should be built with a foundation capable of automated detection of abnormalities...

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  6. Sep 5
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  7. Sep 5

    Looking to learn more about this Labor Day Weekend? Check out 's presentation, The Art of the Possible with DataOps.

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  8. Sep 4

    Sign the DataOpsManifesto: Principle #14: is - pipelines are analogous to manufacturing lines...

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  9. Retweeted
    Sep 2

    Really loving this list of Data Aphorisms that put together What Data Aphorisms do you ascribe to?

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  10. Retweeted
    Sep 3

    Happy to be listed among these leaders via . We definitely agree is in the essential enterprise toolkit.

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  11. Sep 4
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  12. Sep 4

    Curious about and how it optimizes data privacy and security? Join Sonal Rattan and Peter Lancos of on Sept 17th to learn more.

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  13. Sep 3

    Sign the DataOpsManifesto: Principle #13: Simplicity - We believe that continuous attention to technical excellence and good design enhances agility...

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  14. Sep 3

    reduces analytic cycle time from months to minutes. Read how in this case study.

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  15. Sep 3

    Now available to watch on-demand, 's presentation, The Art of the Possible with .

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  16. Sep 2

    Sign the DataOpsManifesto: Principle #12: Disposable environments - We believe it is important to minimize the cost for team members to experiment...

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  17. Sep 2

    optimizes data privacy and security. Join us to discuss the what and how on Sept 17th with Peter Lancos and Sonal Rattan of .

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  18. Sep 2

    Are you struggling to balance agility and governance in your program? Learn how a financial services company met this challenge with .

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  19. Sep 1

    Sign the DataOpsManifesto: Principle #11: Make it reproducible - Reproducible results are required and therefore we version everything

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  20. Sep 1

    “The problem is not that there is too much data. The problem is there are too many people, too many tools, and too slow processes to take advantage of that data.” — 

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