Managing Big Data can be a big headache.
The amount of information people can access online is constantly growing. In fact, with every day that passes another 2.5 quintillion bytes of online information is created. This data can be used to find patterns in student learning, help quickly diagnose patients and track consumer trends.
But it’s hard to make sense of all of this information without a way to store and analyze it. Researchers in the University of California system are hoping they can help with their new software called AsterixDB.
The platform was created by UCI professors Michael J. Carey and Chen Li, UCI project scientist Vinayak Borkar and University of California, Riverside, professor Vassilis J. Tsotras. “We’re providing a next-generation platform for storing, managing, coordinating and making use of Big Data,” Carey said in an announcement.
Carey called the immense amount of information generated through blogs, tweets, and online transactions “digital exhaust.” It’s far too much to take in at once and needs to be filtered.
The goal for AsterixDB is to be that filter, targeting what the team calls semi-structured information and storing it.
By using large, “shared-nothing” computing clusters – a system where each computer node is self-sufficient and not relying on one other – AsterixDB can better process the large volume of data.
See Page 2 for details for what else Big Data can accomplish.