Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves.
Big data leads to more confident decision making, and better decisions can result in greater operational efficiency, cost reduction and reduced risk. If you don’t have Big data solution, then these are the areas in which your business users and application team is facing challenges today – analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying and information privacy.
RDMS and desktop statistics and visualization packages often have difficulty handling big data. The work instead requires “massively parallel software running on tens, hundreds, or even thousands of servers” What is considered “big data” varies depending on the capabilities of the users and their tools, and expanding capabilities make big data a moving target. “For some organizations, facing hundreds of gigabytes of data for the first time may trigger a need to reconsider data management options. For others, it may take tens or hundreds of terabytes before data size becomes a significant consideration.
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