The Algebra of Data Analytics

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algby Angela Guess

Alex Woodie recently wrote in Datanami, “A company by the name of Algebraix Data is beginning to speak publicly for the first time about the algebra of data, an approach to storing and accessing data that it devised and patented. The company is using its data algebra now to provide big data analytics services to clients, but the uses could be much more far-reaching, including a universal language… Algebraix  attracted the interest of entrepreneur Charlie Silver, who had some familiarity with the difficulty of analyzing large sums of data. Silver was a co-founder of RealAge, a medical website started in the early 2000s. RealAge allowed people to enter health- and lifestyle-related information about themselves, and algorithms behind the scenes would calculate their “real” age and then give them advice on ‘how to live life to the youngest’.”

Woodie goes on, “You need a mathematics degree to really understand how the Algebraix Technology Platform actually works, but the effects are easier to explain. Silver does this using the Rolodex analogy. In a typical computer, whenever you do a search or a query, he says, ‘You turn the whole Rolodex every single time,’ he says. ‘But when you do things algebraically, you actually compute in the cache, meaning every time something has been computed, it’s an immutable algebraic set that can be re-used. And that’s why it becomes lightning fast,’ he continues, ‘because it doesn’t have to power through the 99.9 percent of the data that’s not relevant to the data, whereas in a traditional compute environment, you have to go through the whole data set every single time’.”

Read more here.

photo credit: Flickr/ stuartpilbrow

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