Large amounts of structured and unstructured data that require machine-based systems and technologies in order to be fully analysed.

The process of analyzing very large, often independent, data sets to reveal patterns, trends, and associations – especially relating to human behavior and interactions. This in turn can help employers [..]

Big data is high-volume, high-velocity and/or high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision making, and [..]

data sets that are far too complex or wide-ranging to be assessed by traditional data processing applications.

A term used to describe the large data sets which exponential growth in the amount and availability of data have allowed organizations to collect. Big data has been articulated as “the three V’s: volu [..]

As this has become a popular marketing buzz phrase, definitions have proliferated, but in general, it refers to the ability to work with collections of data that had been impractical before because of [..]

The phrase "big data" is often used in enterprise settings to describe large amounts of data. It does not refer to a specific amount of data, but rather describes a dataset that cannot be st [..]

Big Data is a phrase used to mean a massive volume of both structured and unstructured data that is so large it is difficult to process using traditional database and software techniques.  In most ent [..]

Data sets so large that they cannot be used with traditional database tools. Big data often requires massively parallel computing resources to access, curate and analyze. Big data analysis techniques are crucial to such disciplines as spotting business trends and simulation.

This refers to sets of data so massive, it would take sophisticated programs and really smart data scientists to make sense of it all. When you’re dealing with Big Data, you’re not just looking at tra [..]

IT-related term to define a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools. Challenges include capture, curation, storage, se [..]

Buzzword used to refer to large amounts of both structured and unstructured data that are too voluminous to process using conventional database techniques and information technology. See Buzzword, Big [..]

Men spreekt van Big Data wanneer men werkt met één of meer datasets die te groot zijn om met reguliere databasemanagementsystemen te onderhouden. (bron: Wikipedia)

Data sets in which the input/output velocity, variety of data structure, and volume exceed the capabilities of systems which were designed for smaller data sets to capture, manage, and process the dat [..]

Big data is a term with uncertain roots, and variable usage, but one that paints a picture of extremely large amounts of information, complex and disparate, that is difficult to analyze using traditio [..]

The problem beginning in the 21st century of processing vast amounts of data coming at or refreshing at very high speed. For example satellite sensor data, city monitoring sensors, gene sequencing dat [..]

The analysis of huge sets of data looking for correlations. This does not prove causality, but does provide predictability. We have new techniques for analysing massive amounts of data.

refers to data sets so large, that conventional data processing applications are inadequate in analyzing them. The term often refers to advanced methods for extracting value from data, not the size of the data set.

slang term for large data sets. A company or government might have large amounts of data to sift for useful information or research. This term derives from big iron,

A generic but appropriate term for extremely large data sets associated with innovative data management and analysis techniques used to reveal underlying patterns and relationships. In human travel an [..]

Big data is an easier way of referring to the large data sets that are available to businesses. In digital marketing, the more information you can collect and use, the better you can make your results. Big data needs to be structured and analysed to reveal patterns and trends. Big data is getting bigger…

A collection of data set so large and complex that they are difficult to process with traditional applications. The term "big data" is commonly used to present new analytical applications leveraging on the power of very large amounts of data sets. A typical example is CRM (Customer Relationship Management) whereby the analysis of [..]

This is the process of applying enormous computing power, using the latest in machine learning and artificial intelligence, to massive and often highly complex sets of information.

A collection of data sets so large that specialized technologies, techniques, and technicians are required to process, manage, and store them. An industry has arisen around the processing and analysis [..]

Small sets of data that are aggregated across large sample sets. E.g. the achievement data for each class in the school collected together to show the overall achievement for the school.

Big data refers to a process that is used when traditional data mining and handling techniques cannot uncover the insights and meaning of the underlying data. Data that is unstructured or time sensiti [..]

Data drives everything that we do. If you think about it, data has always been big. We’ve always fretted about data storage, since the beginning of the computer age. As far back as I can remember, data has always been a problem, but not always a popular buzzword. It simply means huge amounts of data flowing into and out of a computing environment. [..]

Used to describe large, complex data sets that require advanced analytics technology to measure, store and interpret

While there are many definitions on the Internet, big data is data that is large in volume, contains a large variety of information that can be either numeric or text, and can be retrieved, assembled, [..]

Big data is a large set of unstructured data. It always hard to analyze it because the data sets are complex and massive.

Data that covers a whole sector. For example, conversion rate across different companies. This data can be used to benchmark against others and make more informed decisions as well as build a better business.

A broad, catch-all term for huge amounts of data that can’t be processed using old-school tech. When people talk about it, they’re usually trying to say: ‘A whole lot of data’ ‘A bunch of different ty [..]

  Typically, the discussion of big data in the context of predictive modeling and data mining pertains to data repositories (and the analyses based on such repositories) that are larger than a few ter [..]