Rezultati pretraživanja
  1. 14. stu 2019.

    Check out this keynote from where we dived into the details of adaptive and static query optimizations in Spark 3.0 to make Spark easier to use and faster to run.

  2. 30. lis 2019.

    Check out Databricks' CEO 's keynote at where he highlights the opportunity data presents to tackle the world's toughest problems.

  3. 20. lis 2019.

    The video of the keynote at is visible here:

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  4. 17. lis 2019.

    Ending the the only way we know how... 🎤🎼

  5. 17. lis 2019.

    In the morning 15 mins before my 2nd talk at It looks very quiet but I was rushing to deliver the best content about stateful stream processing in and was terribly stressed.

  6. 16. lis 2019.

    Last night’s attendee party at the Amstel Boathouse was 🔥🔥🔥

  7. 16. lis 2019.

    A quick history on . How many have you attended?

  8. 19. svi 2019.

    Presented a session at . It compared and contrasted and Apache Spark... covering various viewpoints and dimensions that need to be considered to pick one over the other.

  9. 25. tra 2019.

    ICYMI, Mike Jordan’s talk was also fantastic. His perspective is that building “AI” by mimicking brains is a red herring, and there are far more intelligent systems already out there that we can leverage for intelligent applications:

  10. 25. tra 2019.

    Great talk from at today on bias in AI, and how it goes well beyond loss functions:

  11. 25. tra 2019.

    Cheers with at ! Come see us before the conference is over :)

  12. 25. tra 2019.

    In this vlog, Steven Nooijen shares his experiences in San Francisco. Some of the announcements include: Spark 3.0 is coming, Databricks Delta is being open sourced, and there is a new framework to run Pandas on Spark, called Koalas.

  13. 24. tra 2019.

    Stop by the Advisory Bar at for your data engineering/science questions and meet my rockstar team!

  14. 24. tra 2019.
  15. 31. lis 2018.

    Wished they’d had more time » “Experience Of Optimizing Spark SQL When Migrating from MPP Database” video with Adaptive Query Execution and Indexed Buckets

  16. 11. lis 2018.

    My talk on Building an Implicit Recommendation Engine with Apache Spark from is now online here

  17. 6. lip 2018.

    Shout out to Ross Lambert () for putting this together. The session starts in about an hour. Come check it out.

  18. 5. lip 2018.

    microsoft + azure for remote maintenance leveraging the intelligent cloud. mind officially blown 🤯

  19. 5. lip 2018.

    For the ones still skeptic about AI and Machine Learning please, check this out: Amazing project done by some years ago

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