Big Data

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Related to Big Data: Big Data analytics

Big Data

The 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).

Big Data Vs. Market Research
Analyzing Big Data may be able to forecast trends and people's habits without the kind of explanation one would derive from traditional market research. The Big Data patterns show the next probable behavior of a person or market without a logical explanation as to why. Right, wrong or indifferent, Big Data has been one of the hottest buzzwords of the 2010s. See Petabyte Age and Google Zeitgeist.
References in periodicals archive ?
What's more, tooling up for big data need not be as costly as many CIOs may think.
It will serve as a venue for holding workshops with customers on the use of big data and for performing verification testing.
Big data will span uncharted territories: We will begin to see expanded use of big data in industries such as healthcare, retail, and energy.
Davenport argues that big data has the potential to bring value to a company in the form of cost reductions, better decision-making, and improvements in products and services.
Flutura is the authority in predictive analytic and data sciences with a global team of Big Data Experts that help Businesses quickly make sense of their complex information so they can take immediate actions to increase revenue, reduce costs, streamline processes and improve customer retention.
Business advantages through investment in big data : Greater insights into business/customers is identified as the significant business benefit gained by the organizations to drive investment in big data, majority of respondents who operate in Asia-Pacific affirm that investment in big data will reduce their organization's operational costs and increase efficiencies and reducing operational costs as well as increase efficiencies is the key business benefit influencing medium-sized companies to invest in big data.
The definition of big data analytics is also getting pulled in somewhat conflicting directions.
The growing need for IT and business leaders who understand how to optimize Big Data opportunities
IDC predicts that by 2017 unified data platform architecture will become the foundation of enterprise-wide big data and analytics strategy.
And yet, while a baseball team's creative use of statistical data may have helped it to go from perennial doormat to scrappy contender, it doesn't begin to describe what Big Data can do for an organization.
71% of survey respondents have big data to manage within their organization, demonstrating value for big data strategies
Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data to solve complex problems.