The increasing size of data sets for big data analytics makes analytics more possible yet less cost prohibitive. DATAVERSITY brought this interesting information to us in their article, “Changing the Dynamics of Big Data Analytics.”
“Most data sets now are well over 10 petabytes,” says Tom Phelan, Co-founder and Chief Architect at Big Data solutions vendor BlueData Software. “Paying a two-times cost just to prevent data loss is too much overhead.” With erasure coding, the storage space overhead is closer to just 30 percent, he says.
Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today’s technology, it’s possible to analyze your data and get answers from it almost immediately – an effort that’s slower and less efficient with more traditional business intelligence solutions.
Big data analytics helps organizations harness their data and use it to identify new opportunities. That, in turn, leads to smarter business moves, more efficient operations, higher profits, and happier customers.
Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.