Tanel Poder

@TanelPoder

A long time computer performance geek. Founder & CEO @ We offload enterprise apps & data to Hadoop and Cloud, without any code rewrites!

Dallas, TX
Joined February 2009

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  1. Retweeted
    3 hours ago
    Replying to

    Lines of code in cars: 20 yrs ago-1Mn 2010-Chevrolet Volt - 10Mn Today-100Mn Avg # of defects-15-50 per 100 lines

  2. Retweeted
    10 hours ago

    Don't miss 's talk on the of data integration & the E4 Training Day, Hadoop for Database Professionals with !

  3. Retweeted
    Jun 7

    Calling 1st time speakers – presenting can be daunting but if you’ve a tale to tell I’ll help you present it at – get in touch

  4. Retweeted
    Jun 7

    Good article on not cargo cutting technologies for scalability you don't need.

  5. Retweeted
    Jun 7
  6. Jun 7
  7. Retweeted
    Jun 7
  8. Retweeted
    Jun 7

    The recordings of all the talks from Kafka Summit NYC are now available online

  9. Retweeted
    Jun 7

    The latest copy of is out (magazine of ), free to read! It would be nice if you could re-tweet.

  10. Jun 7

    One positive outcome is that now you can use some of the big data technologies for your traditional data and enterprise apps!

  11. Retweeted
    Jun 6
  12. Retweeted
    Jun 6

    MapR pushes deeper into storage market with cloud-scale data store

  13. Retweeted
    Jun 5

    Honoured and humbled to be a keynote speaker in the / E4 conference. What a set of panelists !

  14. Retweeted
    Jun 5
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    Jun 5
  16. Retweeted
    Jun 5

    [Blogged] OLEDB waits in checktable [part I] - Disappearing Act

  17. Retweeted
    Jun 5

    Why HPE Discover is the company's last opportunity to tell its story and prove its value by

  18. Jun 3
    Replying to

    And if you get used to the speed of simpler operations, the getting back to "normal" can look horrible in comparison.

  19. Jun 3

    Excellent summary - scanning+filtering+additive aggr = unbelievable! Small-big table joins = excellent! Big fact-fact joins = back to normal

  20. Retweeted
    Jun 3

    BigQuery means you don't need to worry about scaling, table design, file formats or resource issues. Until you try and join two large tables

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