Hadoop, Yahoo, 'Big Data' Brighten BI Future
Yahoo CTO Raymie Stata is a key player in leading "big data" analytics engines. With Hadoop moving out of Yahoo and IBM investing in big data, big data is looking to transform businesses and IT departments.An increasing number of jumbo-size enterprise data sets-and all the technology needed to create, store, network, analyze, archive and retrieve them-are considered "big data." This massive amount of information is pushing the limits on storage, servers and security, creating an immense problem for IT departments that must be addressed. So what's the tipping point? When does average-size data become big data?
eWEEK's crack at this definition, with help from research firm Gartner, goes like this: "Big data refers to the volume, variety and velocity of structured and unstructured data pouring through networks into processors and storage devices, along with the conversion of such data into business advice for enterprises."
Big Data: Tools, Processes and Procedures
"In simplest terms, the phrase [big data] refers to the tools, processes and procedures allowing an organization to create, manipulate, and manage very large data sets and storage facilities," analyst Dan Kusnetzky of the Kusnetzky Group, wrote in his blog. "Does this mean terabytes, petabytes or even larger collections of data? "The answer offered by [IT] suppliers is -yes.' They would say, -You need our product to manage and make the best use of that mass of data.' Just thinking about the problems created by the maintenance of huge, dynamic sets of data gives me a headache." In addition to volume, variety and velocity, there's another "v" that fits into the big data picture: value. Accurate analysis of big data provides value by helping businesspeople make the right decision at the right time.