Head first Big Data

Big Data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. Challenges include capture, curation, storage, search, sharing, analysis, and visualization. Big data was originally associated with three key concepts: volume, variety, and velocity. They are sometimes expanded to include veracity (data accuracy), variety (data types), and value (data utility). Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. They are sometimes expanded to include veracity (data accuracy), variety (data types), and value (data utility). Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.

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