BIG DATA

BIG DATA

     The term "Big Data" was coined by Haseeb Budhani,  "Big Data" caught on quickly as a blanket term for any collection of data sets so large in terms of size and complex that they become difficult to process using available database management tools or data processing applications.

     The challenges of big data include capture, curation, storage, search, sharing, transfer, analysis and visualization of the data.

     Big Data usually has data sets of sizes beyond the ability of commonly used software tools to capture, curate, manage, and process the data within a acceptable time.Big data sizes are a constantly moving up, as of 2013, a single data set  ranging from a few dozen terabytes to many petabytes of data.

     The challenges for big data include capture, curation, storage, search, sharing, transfer, analysis and visualization. The trend to larger data sets is due to the additional information that can be derivable from analysis of a single large set of related data, as compared to separate sets that are smaller with the same total amount of data, allowing correlations to be found to "spot business trends, determine quality of research, prevent diseases, link legal citations, combat crime, and determine real-time roadway traffic conditions.

     Today's data comes from multiple sources. And it is still an difficult to link, match, cleanse and transform data across systems. However, it is necessary to connect and correlate relationships, hierarchies and multiple data linkages or your data can quickly spiral out of control.

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