Rezultati pretraživanja
  1. 7. sij 2019.

    Without a correctly built , that serves relevant for analysis the work of your & won't be able to work effectively. Read my article on why a should be your most important :

  2. 5. srp 2019.

    Are you looking for a big data OLAP Cube system that scales ad libitum, do you want to have your analytics updated even real-time?

  3. 10. lis 2019.

    We are just few hours away from a very interesting discussion with and . We will be sharing decades of experience combined with the latest open source tools.

  4. 24. sij
  5. 7. sij
  6. 15. stu 2019.

    If you missed , you can still watch Cosmin Stroe of discuss how to integrate StreamSets DataCollector into their :

  7. 17. tra 2019.
  8. 12. srp 2019.
  9. 20. velj 2019.

    Using multiple systems to process and move data through your ? Instead of adding more complexity, takes the approach of making it easy to move, connect and process data in motion with Pulsar Functions. More in this blog post:

  10. 24. sij

    The ultimate goal of a system is the prediction. But extending your with your model’s outcome can have some major benefits.

  11. 19. lis 2019.

    No matter the size of your , if you need to import it then your system must be robust⚙ At told us the story of how he built a to process billions of data & they learnt quite a few lessons along the way!

  12. runs in 40+ countries in which several entities run their own systems and storages around the world. Vicente explains in detail how they've have built their using several AWS and GCP services. Download slides

  13. NEW 2019 : Software engineers and tech enthusiats and join forces to share how they built the ultimate ! Check out the video here -

  14. 21. stu 2019.

    :) has become a staple when I do workshops on and working with data using 's . I've gotten great feedback for it from veterans to beginners who've never touched a spreadsheet. Do check it out at .

  15. 21. pro 2019.

    Had so much fun exploring yesterday. With SQL at its code and combining it with Jinja templating brings so much ease and power to doing Transformations in ETL pipeline.

  16. 12. pro 2019.

    Listen to Rishav Verma on Observability Driven as he explores the technique to predict failures & the importance of planning capacity in advance. Join us at Pramati Technologies, Hyderabad on December 14 @ 10:00 AM. Register now

  17. 28. lis 2019.
  18. 11. pro 2019.

    has a prebuilt component for which can be used to execute bulk load and job design. This makes it easier to use and ingest with ease. Learn more in this blog:

  19. 10. sij
  20. 1. lis 2019.

    Article by covers the basics of data cleaning and preprocessing using --a critical task in any .

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