If you were looking for all the news that’s fit to print, you’ve come to the wrong place. We read (almost) everything big data related, including nearly 100 press releases and articles each week, and then bring you the news on what we think is most remarkable.
Trifacta Narrows the Gap Between Big Data and Insight
Big Data is messy -- you don’t need a data scientist to tell you that. It’s comprised of structured, unstructured, semi-stuctured data … and before you can work with it, it needs to be cleaned up. Traditionally this requires hours of painstaking manual coding, creating a costly lag between information and insight -- an expense that companies in this data-driven economy can’t afford to bear.
And now they won’t have to, provided they work with Trifacta, that is. Trifacta is a data transformation platform that leverages machine learning and visualization to create “predictive interactions.”
The way it works is that Trifacta learns as data and business analysts highlight data that they’re interested in, it then creates previews of code that users can keep or discard depending on its usefulness, and it eventually returns data in usable form.
An impressive group of data scientists like Jeff Hammerbacher and industry partners such as Pivotal, Cloudera and Tableau have all given Trifacta rave reviews and kudos for helping enterprises and organizations reap value out data faster.
LinkedIn Acquires Bright
A good chunk of LinkedIn’s revenue comes from connecting jobseekers with the companies who are in need of their skills. And though LinkedIn has some of the smartest algorithms in the industry to make that happen, it seems that there’s something they hadn’t yet thought of or built.
That something is the technology behind job hunting site Bright.com. Bright uses an algorithm that calculates a “Bright Score,” which on a scale of 100 assesses a job applicant’s probability of scoring an initial interview and then making it to the second round for a given position.