Data Mining Part 39: Azure Machine Learning vs Microsoft Data Mining

  • Daniel Calbimonte

    SSCarpal Tunnel

    Points: 4712

    Comments posted to this topic are about the item Data Mining Part 39: Azure Machine Learning vs Microsoft Data Mining

  • akljfhnlaflkj

    SSC Guru

    Points: 76202

    39? Has it been that many already.

  • piotrka

    SSCrazy

    Points: 2023

    I would add that there is a third way of analytics in Microsoft Universe. Writing your own code directly in R and using 2016 SSRS to display results.

  • Daniel Calbimonte

    SSCarpal Tunnel

    Points: 4712

    Could be, but R is unfriendly compared with Data Mining and Azure ML.

    Data Mining is an extremely easy to learn tool. R is very ugly. Looks like a tool from the 80s.

    😛

  • piotrka

    SSCrazy

    Points: 2023

    You are correct. It is the hardest. But for some reason Microsoft is including R in SQL server 2016 and Power BI and seems that it will be the standard for Analytics.

  • Daniel Calbimonte

    SSCarpal Tunnel

    Points: 4712

    Yes, R will be the standard for Data Mining. I guess Microsoft will try to create a nicer UI to work with it in the future.

  • ebooklub

    Hall of Fame

    Points: 3876

    Do you have links to any real cases scenario where "Azure Machine Learning" is used ?

  • Daniel Calbimonte

    SSCarpal Tunnel

    Points: 4712

  • Alan Burstein

    SSC Guru

    Points: 61050

    Great article, I love the series!

    For Microsoft Data Mining you need to purchase the Enterprise or the Business Intelligence Editions.

    Not any more. Now Developer Edition is free for 2014 and 2016. This was announced on March 31st. 😉

    "I cant stress enough the importance of switching from a sequential files mindset to set-based thinking. After you make the switch, you can spend your time tuning and optimizing your queries instead of maintaining lengthy, poor-performing code."

    -- Itzik Ben-Gan 2001

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