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  • Data Science, Unicorns, and Some Things That Never Change

    This post is a follow-up to Mind the Gap where I wrote about Δ, the difference between our perception of ourselves and other’s perception of us. In Mind the Gap I focused on personal and community ramifications of minimizing your Δ. In this post I write about applying these same concepts to data science, analytics, and IT. Before we proceed, ...
    Posted to Andy Leonard (Weblog) by andyleonard on May 5, 2017
  • Data Juice

    The data ecosystem explained in 10 simple images Couple of weeks ago I was explaining how IoT and BigData can be a game changer in sports and human activities. Yeah, it’s cool to put a sensor in your own grill so that it can automatically tell you the exact time you should change side of your filet, but I think it’s even more cooler to instrument ...
    Posted to Davide Mauri (Weblog) by manowar on April 25, 2017
  • Data Wrangling Concepts: Latency and Staleness

    Latency is the amount of time between data creation and load. Staleness is the amount of time since data in a target was refreshed. In many data integration use cases, a latency or staleness of one day, one week, or even one month is acceptable. Enterprise Data & Analytics helps enterprise data integration teams reduce latency and staleness. ...
    Posted to Andy Leonard (Weblog) by andyleonard on April 13, 2017
  • Why Automate?

    Because, as Jen Underwood (jenunderwood.com | LinkedIn | @idigdata) states in an upcoming podcast: The future of data science is automation. If automation is the future, how do we decide what to automate? We look for the long pole. What’s the long pole in data science? Data Integration is the Long Pole According to Lars Nielsen in his book ...
    Posted to Andy Leonard (Weblog) by andyleonard on March 12, 2017
  • Apache Zeppelin 0.7 for SQL Server

    During the weekend I’ve updated my SQL Server interpreter for the amazing Apache Zeppelin to be compatible with the latest version — 0.7— that has been released just couple of days ago: Apache Zeppelin Release 0.7.0 This new release has a lot of nice features (customizable charts, better multi-user support, improved tables and many others) and ...
    Posted to Davide Mauri (Weblog) by manowar on February 21, 2017
  • Predictions for 2017

    I’m hesitant to make predictions for 2017 because I’ve read the parts of the Old Testament that deal with prophets whose predictions did not come to pass. Perhaps a better title for this post is “Hopes for 2017” or “Thoughts for 2017”. The Cloud Will Grow (Filed under “DUH!”) 2016 saw a number of data services introduced and improved in the ...
    Posted to Andy Leonard (Weblog) by andyleonard on December 30, 2016
  • 5 eBooks on Data Science and Analysis!

    Below you can find 5 eBooks related to the Data Science and Data Analysis. The download can be done after buying the eBooks or under the ''Free Minimum'' formula.   R Programming for Data Science   This book brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading Johns ...
    Posted to Sergio Govoni (Weblog) by Sergio Govoni on October 19, 2016
  • Data Science and the Cloud

    More than perhaps any other computing discipline, Data Science lends itself best to Cloud Computing in general, and Windows Azure in specific. That's a big claim, but before I offer some evidence, I need to explain what I mean by ''Data Science''. I've written before on Data Science ...
    Posted to Buck Woody (Weblog) by BuckWoody on August 26, 2013
  • Using Hadooop (HDInsight) with Microsoft - Two (OK, Three) Options

    Microsoft has many tools for “Big Data”. In fact, you need many tools – there’s no product called “Big Data Solution” in a shrink-wrapped box – if you find one, you probably shouldn’t buy it. It’s tempting to want a single tool that handles everything in a problem domain, but with large, ...
    Posted to Buck Woody (Weblog) by BuckWoody on December 4, 2012
  • Is Data Science “Science”?

    I hold the term “science” in very high esteem. I grew up on the Space Coast in Florida, and eventually worked at the Kennedy Space Center, surrounded by very intelligent people who worked in various scientific fields. Recently a new term has entered the computing dialog – “Data Scientist”. Since it’s not a ...
    Posted to Buck Woody (Weblog) by BuckWoody on October 16, 2012
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