Visualizing in Space

  • Comments posted to this topic are about the item Visualizing in Space

  • DIKW flashed on my mind after reading this. Data is a fact. When you ask data 'What', you get information. When you ask 'how', you acquire knowledge. When you ask 'why', you manifest wisdom.

    Thanks,
    Naveen.
    Every thought is a cause and every condition an effect

  • If SQL professionals are needing a tool to help them visualize spatial datasets I would recommend QGIS - an open source digital mapping package that can easily be configured to link to SQL Server.

    QGIS Home link[/url]

    It has better tools than many paid alternatives and is very actively developed. There has been 6 or 7 releases this year.

    cloudydatablog.net

  • It's also well worth the effort of learning at least the basics of R. It's not difficult getting data from SQL Server (or just about any database engine) into R, but knowing how R handles data definitely helps writing queries for data sets used for analysis. R is becoming more popular all the time and it's completely free, so there's really no reason not to.

    ____________
    Just my $0.02 from over here in the cheap seats of the peanut gallery - please adjust for inflation and/or your local currency.

  • There's a ton of tools both commercial and OSS that help visualize data. Two of my favorites are Excel and IPython Notebook.

  • I love working with data. I like to relate it to human activity. Working in the medical industry provides lots of opportunity to do just that.

  • Maybe everyone knows by now, but data.gov is a gold mine for public datasets. Most of them are US specific, but there are also thousands of sets related to global topics as well. One good way to showcase your skills would be to pick an interesting topic and then create an Azure or ASP.NET website with some interactive visualizations.

    "Do not seek to follow in the footsteps of the wise. Instead, seek what they sought." - Matsuo Basho

  • lshanahan (7/28/2015)


    It's also well worth the effort of learning at least the basics of R. It's not difficult getting data from SQL Server (or just about any database engine) into R, but knowing how R handles data definitely helps writing queries for data sets used for analysis. R is becoming more popular all the time and it's completely free, so there's really no reason not to.

    And I've heard that SQL 2016 will have R in it. Is that correct?

    Kindest Regards, Rod Connect with me on LinkedIn.

  • Rod at work (7/28/2015)


    lshanahan (7/28/2015)


    It's also well worth the effort of learning at least the basics of R. It's not difficult getting data from SQL Server (or just about any database engine) into R, but knowing how R handles data definitely helps writing queries for data sets used for analysis. R is becoming more popular all the time and it's completely free, so there's really no reason not to.

    And I've heard that SQL 2016 will have R in it. Is that correct?

    Yes, we have some info here: http://www.computerworld.com/article/2923214/big-data/sql-server-2016-to-include-r.html

  • Thank you, Steve. I've just downloaded R for Advanced Beginners PDF.

    Kindest Regards, Rod Connect with me on LinkedIn.

  • Should we wait for R# ?

    "Do not seek to follow in the footsteps of the wise. Instead, seek what they sought." - Matsuo Basho

  • Rod at work (7/29/2015)


    Thank you, Steve. I've just downloaded R for Advanced Beginners PDF.

    Any good?

    Gaz

    -- Stop your grinnin' and drop your linen...they're everywhere!!!

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