Data science core technologies

Aug 13, 2017 10 Comments

What core technologies do you use in your company for data science and who do you work for? Please be brief. Will post a compile in the end.

Looking for Fortune 500 companies only.

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  • Square
    fbfmkjlzxq

    Go to company page Square

    fbfmkjlzxq
    Super Mario Bros
    Aug 13, 2017 1
  • Non tech Fortune 500 companies are likely still on old services like teradata because it's too hard to migrate. And tech firms (google, facebook, amazon) are likely all on their own custom solutions
    Aug 13, 2017 6
    • When you are a large business with a huge revenue stream, and data is not your core competency, the risk of migrating servers and data is just too high to be worth it.
      Aug 16, 2017
    • New
      jSdO71

      New

      jSdO71
      This is accurate. Sure there are some that are ahead of the curve, but non-tech, particularly in businesses that are protected from competition via some sort of monopoly, is a terrifying place to be from a tools/processes/culture standpoint. Just quit one after a few weeks myself.
      Jul 23, 2019
  • Travelers / Eng
    HadoopFU

    Go to company page Travelers Eng

     HadoopFU
    Depends on what you mean by core technologies. We are largely in Hadoop now. Most of DS uses Spark on Hadoop or stand alone. Python seems to be the language of preference lately.
    Aug 14, 2017 0