Big Data (English, noun)
Jump to navigation
Jump to search
| Term or phrase | Big Data |
|---|---|
| Language | English |
| If an appropriate language is not listed, please suggest one | |
| Function in sentence or vocabulary | noun |
| If an appropriate function is not listed, please suggest one |
| Description of metaphor, metonym, or other figurative expression | Most of the metaphors we use to talk about data in popular culture make sense to technocratic corporations and their leaders, those building and disseminating information technologies, but they are fundamentally dehumanizing. It is no wonder individuals continue to believe that they have “nothing to hide” in the face of big data, because we do not have the cognitive context to grasp how behemoth corporations use data. The dominant industrial metaphors for data do not privilege the position of the individual. Instead, they take power away from the person to which the data refers and give it to those who have the tools to analyze and interpret data. Data then becomes obscured, specialized, and distanced. |
|---|---|
| Is the text of the description a quotation or a paraphrase of the source? | quotation |
| Was the source of the description in print? If so, insert the source here. | |
| Or was the source of the description online? If so, insert the source here. | Watson, Sara M., “Data is the New ‘___’: Sara M. Watson on the Industrial Metaphors of Big Data,” DIS Magazine, accessed October 9, 2015, http://dismagazine.com/discussion/73298/sara-m-watson-metaphors-of-big-data/ |
| Relevant century CE or BCE | |
| Relevant years CE or BCE | |
| Relevant geographic areas | |
| Relevant languages | |
| Relevant terms and phrases | metaphor, popular, culture, popular culture, data, data analysis, interpretation, industrial, dehumanize, build, disseminate, information technology, information, technology, cognitive, context, behemoth, corporation, individual, power, person, refer to, tool, analyze, interpret, obscure, specialize, distance |
| Relevant individuals | |
| Relevant organizations | |
| Relevant books | |
| Relevant websites and blogs | |
| Relevant articles, blog entries, editorials, essays, graphics, interviews, and other content | |
| Relevant periodicals, newsletters, journals, and similar publications | |
| Relevant databases and repositories | |
| Relevant applications | |
| Relevant PDF documents | |
| Relevant videos | |
| Relevant audio and podcasts | |
| Relevant projects and activities | |
| Relevant events | |
| Relevant constitutions, treaties, conventions, statutes, legislation, judicial decisions, regulations, proclamations, or other sources or enactments of law |
| Definition | Big Data involves processing very large datasets to identify patterns and connections in the data. It's made possible by the incredible amount of data that is generated, accumulated, and analyzed every day with the help of ever-increasing computer power and ever-cheaper data storage. It uses the "data exhaust" that all of us leave behind through our daily lives. |
|---|---|
| Dialects or regional variations | |
| Is the text of the definition a quotation or a paraphrase of the source? | quotation |
| Source of definition in print | Gurin, Joel, Open Data Now: The Secret to Hot Startups, Smart Investing, Savvy Marketing, and Fast Innovation (New York: McGraw-Hill Education, 2014), 12 (italics omitted) |
| Significant terms and phrases | big, data, dataset, storage, data storage, exhaust, data exhaust, identify, pattern, connection, generate, accumulate, analyze, computer, power, computer power, cheap, daily life |
| Definition | Big data is a collection of data from traditional and digital sources inside and outside your company that represents a source for ongoing discovery and analysis. |
|---|---|
| Dialects or regional variations | |
| Is the text of the definition a quotation or a paraphrase of the source? | quotation |
| Source of definition online | Lisa Arthur, “What Is Big Data?” Forbes, August 15, 2013, accessed August 21, 2015, http://www.forbes.com/sites/lisaarthur/2013/08/15/what-is-big-data/ |
| Significant terms and phrases | big, data, collection, traditional, digital, source, inside, outside, company, discovery, analysis |
| Definition | “Big data” refers to datasets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze. This definition is intentionally subjective and incorporates a moving definition of how big a dataset needs to be in order to be considered big data—i.e., we don’t define big data in terms of being larger than a certain number of terabytes (thousands of gigabytes). We assume that, as technology advances over time, the size of datasets that qualify as big data will also increase. Also note that the definition can vary by sector, depending on what kinds of software tools are commonly available and what sizes of datasets are common in a particular industry. With those caveats, big data in many sectors today will range from a few dozen terabytes to multiple petabytes (thousands of terabytes). |
|---|---|
| Dialects or regional variations | |
| Is the text of the definition a quotation or a paraphrase of the source? | quotation |
| Source of definition online | Manyika, James, et al., Big data: The next frontier for innovation, competition, and productivity (n.p.: McKinsey Global Institute, 2011), 1, Aug. 21, 2015, http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation |
| Significant terms and phrases | big, data, database, gigabyte, terabyte, petabyte, size, ability, typical, database, software, tool, capture, store, manage, analyze, definition, subjective, incorporate, dataset, define, in terms of, large, technology, advance, time, qualify, increase, vary, sector, industry, caveat |
Connections to this term or phrase[edit]
The following pages have some connection to "Big Data": Big Data for Resilience Storybook, Open Data (English, noun), Value Creation from Big Data: Looking Inside the Black Box.
The following pages include "Big Data" as an antecedent term or phrase: .
The following pages include "Big Data" as a synonym: .
The following pages include "Big Data" as a translation equivalent: .
... more about "Big Data (English, noun)"
data +, technology +, power +, tool +, analyze +, big +, dataset +, storage +, data storage +, exhaust +, data exhaust +, identify +, pattern +, connection +, generate +, accumulate +, computer +, computer power +, cheap +, daily life +, collection +, traditional +, digital +, source +, inside +, outside +, company +, discovery +, analysis +, database +, gigabyte +, terabyte +, petabyte +, size +, ability +, typical +, software +, capture +, store +, manage +, definition +, subjective +, incorporate +, define +, in terms of +, large +, advance +, time +, qualify +, increase +, vary +, sector +, industry +, caveat +, metaphor +, popular +, culture +, popular culture +, data analysis +, interpretation +, industrial +, dehumanize +, build +, disseminate +, information technology +, information +, cognitive +, context +, behemoth +, corporation +, individual +, person +, refer to +, interpret +, obscure +, specialize + and distance +
Big Data involves processing very large da … Big Data involves processing very large datasets to identify patterns and connections in the data. It's made possible by the incredible amount of data that is generated, accumulated, and analyzed every day with the help of ever-increasing computer power and ever-cheaper data storage. It uses the "data exhaust" that all of us leave behind through our daily lives.f us leave behind through our daily lives. +, Big data is a collection of data from traditional and digital sources inside and outside your company that represents a source for ongoing discovery and analysis. + and “Big data” refers to datasets whose size i … “Big data” refers to datasets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze. This definition is intentionally subjective and incorporates a moving definition of how big a dataset needs to be in order to be considered big data—i.e., we don’t define big data in terms of being larger than a certain number of terabytes (thousands of gigabytes). We assume that, as technology advances over time, the size of datasets that qualify as big data will also increase. Also note that the definition can vary by sector, depending on what kinds of software tools are commonly available and what sizes of datasets are common in a particular industry. With those caveats, big data in many sectors today will range from a few dozen terabytes to multiple petabytes (thousands of terabytes).ltiple petabytes (thousands of terabytes). +
Most of the metaphors we use to talk about … Most of the metaphors we use to talk about data in popular culture make sense to technocratic corporations and their leaders, those building and disseminating information technologies, but they are fundamentally dehumanizing. It is no wonder individuals continue to believe that they have “nothing to hide” in the face of big data, because we do not have the cognitive context to grasp how behemoth corporations use data. The dominant industrial metaphors for data do not privilege the position of the individual. Instead, they take power away from the person to which the data refers and give it to those who have the tools to analyze and interpret data. Data then becomes obscured, specialized, and distanced.omes obscured, specialized, and distanced. +
English +
quotation +
Gurin, Joel, Open Data Now: The Secret to Hot Startups, Smart Investing, Savvy Marketing, and Fast Innovation (New York: McGraw-Hill Education, 2014), 12 (italics omitted) +
Watson, Sara M., “Data is the New ‘___’: Sara M. Watson on the Industrial Metaphors of Big Data,” DIS Magazine, accessed October 9, 2015, http://dismagazine.com/discussion/73298/sara-m-watson-metaphors-of-big-data/ +, Lisa Arthur, “What Is Big Data?” Forbes, August 15, 2013, accessed August 21, 2015, http://www.forbes.com/sites/lisaarthur/2013/08/15/what-is-big-data/ + and Manyika, James, et al., Big data: The next frontier for innovation, competition, and productivity (n.p.: McKinsey Global Institute, 2011), 1, Aug. 21, 2015, http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation +
Big Data +
