Commercial Lines Insurance Pricing Survey - CLIPS: An annual survey from the consulting firm Towers Perrin that reveals commercial insurance pricing trends. It tracks prices charged by over 30. Big data definition, data sets, typically consisting of billions or trillions of records, that are so vast and complex that they require new and powerful computational resources to process: Supercomputers can analyze big data to create models of global climate change.
![Big Big](https://www.researchgate.net/profile/Ossi_Ylijoki/publication/303581535/figure/download/fig4/AS:366570565062659@1464408641184/Evolution-of-the-definition-of-big-data.png)
English[edit]
English Wikipedia has an article on:
Wikipedia Etymology[edit]
Big Data: 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 stored or processed using traditional database software. The term has been in use since the 1990s, with some giving credit to John Mashey for popularizing the term. Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process data within a tolerable elapsed time. But the concept of big data gained momentum in the early 2000s when industry analyst Doug Laney articulated the now-mainstream definition of big data as the three V’s: Volume: Organizations collect data from a variety of sources, including business transactions, smart (IoT) devices, industrial equipment, videos, social media and more.
The Wikipedia article cites several sources from 2009 having 'big data' in the title, which is when the term seems to have caught on. The same two words can be attested in the 1980s and 1990s, but not in the current sense of the term.
In 2000, economist Francis X. Diebold published the first version of a paper titled “Big Data Dynamic Factor Models for Macroeconomic Measurement and Forecasting.”[1] After being interviewed on his use of the term 'big data' by NYTimes.com blogger Steve Lohr[2], Dieblold undertook his own investigation,[3] in which he concluded: “The term Big Data, which spans computer science and statistics/econometrics, probably originated in the lunch-table conversations at Silicon Graphics in the mid-1990s, in which John Mashey[4] figured prominently.”
Pronunciation[edit]
- (UK)IPA(key): /ˌbɪɡ ˈdeɪtə/
Noun[edit]
(uncountable)
- Data on a very large scale, such that it can only be gathered or processed with computers, especially with reference to its potential to allow for new breakthroughs or understanding in a particular field of study.
- 2015, The Guardian, picture caption, 23 October:
- Big data has the potential to revolutionise the global healthcare system, but barriers to its adoption mean progress is slow.
- 2016, Andrew Gallix, ‘The Making of Mersault’, Literary Review, November:
- James Cheshire and Oliver Uberti's enchanting and exhilarating annotated atlas of animal movements […] is a product of ‘big data’ methodology.
- 2015, The Guardian, picture caption, 23 October:
Translations[edit]
Big Data Definition Computer Science
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See also[edit]
References[edit]
- ^ http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.12.1638&rep=rep1&type=pdf
- ^ The Origins of ‘Big Data’: An Etymological Detective Story, New York Times 'Bits' blog, February 1, 2013.
- ^ A Personal Perspective on the Origin(s) and Development of 'Big Data': The Phenomenon, the Term, and the Discipline, November 26, 2012.
- ^ https://en.wikipedia.org/wiki/John_Mashey
Anagrams[edit]
Danish[edit]
Proper noun[edit]
- Alternative letter-case form of Big Data
Big Data Wikipedia
Retrieved from 'https://en.wiktionary.org/w/index.php?title=big_data&oldid=54471446'
Big data analytics is the use of advanced analytic techniques against very large, diverse data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes.
Big data is a term applied to data sets whose size or type is beyond the ability of traditional relational databases to capture, manage and process the data with low latency. Big data has one or more of the following characteristics: high volume, high velocity or high variety. Jixipix hallows eve 1 13 kjv. Artificial intelligence (AI), mobile, social and the Internet of Things (IoT) are driving data complexity through new forms and sources of data. For example, big data comes from sensors, devices, video/audio, networks, log files, transactional applications, web, and social media — much of it generated in real time and at a very large scale.
Big Data Definition Pdf
Analysis of big data allows analysts, researchers and business users to make better and faster decisions using data that was previously inaccessible or unusable. Businesses can use advanced analytics techniques such as text analytics, machine learning, predictive analytics, data mining, statistics and natural language processing to gain new insights from previously untapped data sources independently or together with existing enterprise data.