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Articles by Michael Eacrett
How to Avoid Drowning in a Data Lake
This article is excerpted from “Data Lakes: Deep Insights” by Timo Elliott, John Schitka, Michael Eacrett, and Carolyn Marsan* Big Data is morphing into Vast Data. The next generation of the technology will lead to insights and correlations that reveal new strategies—even new business models. Companies of all types—from agriculture through transportation and financial services to retail—are tapping into massive repositories of data known as data lakes.
Data Lakes: Deep Insights
Big Data is morphing into Vast Data. The next generation of the technology will lead to insights and correlations that reveal new strategies—even new business models. Dan McCaffrey has an ambitious goal: solving the world’s looming food shortage.
Data Lakes: Deep Insights
Dan McCaffrey has an ambitious goal: solving the world’s looming food shortage. As vice president of data and analytics at The Climate Corporation (Climate), which is a subsidiary of Monsanto, McCaffrey leads a team of data scientists and engineers who are building an information platform that collects massive amounts of agricultural data and applies machine-learning techniques to discover new patterns. These analyses are then used to help farmers optimize their planting.
Does Your Data Need a Health Check?
Doctors in the United States were put on red alert in 2015 when the Center for Disease Control announced that adult obesity rates had ballooned up to 68.6% in only three years. This human growth rate, clearly on a fast trajectory in the wrong direction, unfortunately aligns quite closely with what is happening to enterprise data. Data in the digital universe is doubling every two years, and is on track to reach 44 trillion gigabytes by 2020.
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