Rezultati pretraživanja
  1. 8. svi 2018.

    I don't understand why 10+ years of failures have not been enough to learn that Hadoop and Hadoop-based projects don't provide the required user concurrency and complex analytics required by . Vendors, why are you still lying? 😡

  2. 23. srp 2019.

    is a crucial enabler for businesses through transactional structures, , s/w, & . Continuous , differentiating & data, , & gets you future ready.

  3. 17. ruj 2019.

    ⭐️vs. ❄️ Two schemas...two simple ways to organize entire using relational databases☕️

  4. 14. velj 2019.
  5. 24. lip 2019.
  6. 21. lis 2019.

    Join tomorrow night for their monthly meet-up on -based . Tickets are still available, register today:

  7. 6. ruj 2018.

    , , and the Rise of 360° Semantic Data Hubs

  8. 22. ruj 2017.
  9. 13. ruj 2018.

    Today is the perfect day to see a demo of QuerySurge and how it can automate the data testing of and data stores, , and reports. Swing by booth 1426 at . – mjesto: Jacob K. Javits Convention Center

  10. 3. velj 2018.

    . stronger than ever in terms of robustness, capacity to shutdown legacy by migrating workloads to this platform, freedom of platform deployment, and, yes, number of USERS! !

  11. 8. stu 2018.

    Join this webinar by our friends at TOMORROW to learn strategies, get a deep dive into cloud , and view a hands-on demo of

  12. 13. lip 2018.

    When it comes to vs. , it's not an "OR" world, it's an "AND" world. Join and I @ as we discuss "Data Lakes & Data Warehouses => Can They Co-Exist?" cc

  13. 21. ožu 2019.

    aren’t going away, are good for known use cases; good for exploratory . helps with both and

  14. 21. stu 2018.

    (1/2) The decades of negelecting , sloppy datadesign and deprioritizing data management has led to a huge ‘mountain’ of and massive amounts (and costs) of downstream remediation work, copying data & artefacts aka

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  15. 15. stu 2017.

    Video: How to Overcome the Drawbacks of "Cloudified"

  16. l really enjoyed my full-day session at the event in Orlando. Thx to a great audience! Today, topic was Logical . Tomorrow will be on Unifying and and on and .

  17. 11. stu 2018.

    Join us for our session "A Tale of Two BI Standards: and " on day 1, Nov 13th at 2:30pm . We'll be discussing why every org should have two BI standards: one for data warehouses and one for data lakes:

  18. 13. lis 2018.
  19. 13. velj 2019.

    When are facts really facts? And this is not (just) a issue. You must ask the question about the data in your and other databases.

  20. In this episode of Data Analytics Leaders, Daniel Graham dissects the capabilities of data lakes and compares it to data warehouses via

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