Trifacta, a specialist in cleaning up data to make it more useful, has $35 million in fresh funding to expand its worldwide sales reach. That brings total funding to more than $76.3 million.
One of the issues in the big data era is that, by definition, there’s not only a ton of data to be crunched, but a lot of that data is unruly, in many different formats, and thus needs to be tidied up in a way to it can be combined with other data and crunched in a useful way.
That’s the task that Trifacta, Tamr, Paxata, and a handful of other startups are attacking. San Francisco-based Trifacta applies machine learning to speed up the process. In brief, the more data, typically in Hadoop repositories, it sees, the more it learns from it and is able to predict how the data at hand needs to be structured to do the best job.
Tamr snags $25M to whip your data into shape
In a statement Trifacta chief executive Adam Wilson, claimed new customers including Kaiser Permanente, Juniper Networks
and Royal Bank of Scotland
over the past year.
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This financing round includes new investor Cathay Innovation, along with previous backers Accel Partners, Greylock Partners, and Ignition Partners.