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  2. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    Big data "size" is a constantly moving target; as of 2012 ranging from a few dozen terabytes to many zettabytes of data. [26] Big data requires a set of techniques and technologies with new forms of integration to reveal insights from data-sets that are diverse, complex, and of a massive scale. [27]

  3. Industrial big data - Wikipedia

    en.wikipedia.org/wiki/Industrial_Big_Data

    Industrial big data refers to a large amount of diversified time series generated at a high speed by industrial equipment, [1] known as the Internet of things. [2] The term emerged in 2012 along with the concept of "Industry 4.0”, and refers to big data”, popular in information technology marketing, in that data created by industrial equipment might hold more potential business value. [3]

  4. Data management - Wikipedia

    en.wikipedia.org/wiki/Data_management

    However, data has staged a comeback with the popularisation of the term big data, which refers to the collection and analyses of massive sets of data. While big data is a recent phenomenon, the requirement for data to aid decision-making traces back to the early 1970s with the emergence of decision support systems (DSS).

  5. Informatica - Wikipedia

    en.wikipedia.org/wiki/Informatica

    Informatica Inc. is an American software development company founded in 1993. It is headquartered in Redwood City, California. [2] Its core products include enterprise cloud data management and data integration. It was co-founded by Gaurav Dhillon and Diaz Nesamoney. Amit Walia is the company's CEO. [3]

  6. Staging (data) - Wikipedia

    en.wikipedia.org/wiki/Staging_(data)

    In other cases data might be brought into the staging area to be processed at different times; or the staging area may be used to push data to multiple target systems. As an example, daily operational data might be pushed to an operational data store (ODS) while the same data may be sent in a monthly aggregated form to a data warehouse.

  7. Informatics - Wikipedia

    en.wikipedia.org/wiki/Informatics

    Informatics (a combination of the words "information" and "automatic") is the study of computational systems. [1] [2] According to the ACM Europe Council and Informatics Europe, informatics is synonymous with computer science and computing as a profession, [3] in which the central notion is transformation of information.

  8. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data science process flowchart from Doing Data Science, by Schutt & O'Neil (2013) Analysis refers to dividing a whole into its separate components for individual examination. [10] Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1]

  9. SlideShare - Wikipedia

    en.wikipedia.org/wiki/SlideShare

    SlideShare is an American hosting service, now owned by Scribd, for professional content including presentations, infographics, documents, and videos. Users can upload files privately or publicly in PowerPoint, Word, or PDF format. Content can then be viewed on the site itself, on mobile devices or embedded on other sites.

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