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“Once you have a solid foundation of data from internal practices,” says Saxena, “you can explore open data sources, including Data.gov, UNICEF, the World Health Organization and Google Public Data Explorer.” What does that look like in practice?
The LAPD uses its own information in conjunction with open data systems for a predictive tool that attempts to determine future locations of crime.
With concerns over smog, water pollution, and climate change, some of us would prefer that the oil era was never realized.
In fact, that’s become exponentially more true in the last few years.“Enterprises want a platform that graciously allows them to move from one scale to the next and the next,” said Wood.“You just can’t get this if you drop a huge chunk of change on a data center that is frozen in time.” Since data is so prevalent, the problem for a startup is usually not that they don’t have enough data.Between the dawn of humanity and 2003, we collected an aggregate of 5 billion gigabytes of information.If you are familiar with large-scale data projects, that is NOT an impressive figure. Technologist Matt Wood explains that cloud computing is essential to big data – giving the example of the Weather Channel.
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Data must be similarly processed, boiled down into the most relevant components that can power your company with insight and innovation.