Tag: How-to

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Visual Exploration For Data Preparation

Data visualization is the principle of taking data values and converting them into a graphic. Most people see, or prefer to see, data represented as a graphic. It is the common language that captures how data values are constructed into a story. Typically, the simplest and aesthetically pleasing data visualizations require the most time and […]

  • Adam Wealand
  • June 1, 2019
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Creating an Agile Closed Loop Data Science Workflow with Datameer and Amazon SageMaker

Introduction If you’re going to do machine learning work right, you’re going to need well-honed data sets to build your models on.  It is not just about cleaning up the data.  It is also about discovering data that is relevant to the problem at hand, finding more data to increase accuracy, integration data from multiple […]

  • John Morrell
  • February 1, 2019
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Five Best Practices for Software Maintenance

In this blog, we cover five best practices for system administrators to keep users satisfied when it comes to maintenance updates: schedule, think holistically, review urgency, test changes incrementally and repeat changes into production.

  • Joel Stewart
  • July 18, 2018
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GDPR Is Almost Here. Are Your Analytic Processes Ready?

The May 25, 2018 deadline for the General Data Protection Regulation (GDPR) is almost upon us. And the question many in management are asking is: Are we ready?

  • John Morrell
  • April 18, 2018
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Five Rules of Data Exploration

As always, one always learns something new at the Gartner Data and Analytics Summit (the 2018 North America version held last week in Grapevine, Texas). I attended a fascinating session with two of Gartner’s most knowledgeable analysts – Mark Beyer and Adam Ronthal – on modern data architectures. In this case, it was not so much learning something new, but rather being reminded of a concept I had used before.

  • John Morrell
  • April 6, 2018
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Five Big Data Use Cases for Retail

The retail industry continues to accelerate rapidly, and with it, the need for businesses to find the best retail use cases for big data. Sales alone are expected to grow by 3.5 percent in 2017, and e-commerce continues to make massive gains with an expected growth of 15 percent this year (Kiplinger, 2017).

  • Erin Hitchcock
  • February 27, 2018

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