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Related to Big Data: Big Data analytics
Big DataThe massive amounts of data collected over time that are difficult to analyze and handle using common database management tools. The data are analyzed for marketing trends in business as well as in the fields of manufacturing, medicine and science. The types of data include business transactions, e-mail messages, photos, surveillance videos, activity logs and unstructured text from blogs and social media, as well as the huge amounts of data that can be collected from sensors of all varieties (see machine-generated data).
Big Data Storage and Big Data Analytics
The storage industry is continuously challenged as Big Data increases exponentially. While the physical storage can be enhanced with more terabyte drive arrays, the software infrastructure must be flexible enough to quickly and economically accommodate ever greater volumes of transactions and queries. See Hadoop, Spark and cloud computing).
The analytical challenge is deriving meaningful information from data in petabyte and exabyte volumes. Big Data analytics breaks down the data sets into smaller chunks for efficient processing and employs parallel computing to derive intelligence for effective decision-making (see MPP). See Petabyte Age and Google Zeitgeist.