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  • 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
  • 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
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