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data organization

data organization

[′dad·ə ‚ȯr·gə·nə‚zā·shən]
(computer science)
Any one of the data management conventions for physical and spatial arrangement of the physical records of a data set. Also known as data set organization.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
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References in periodicals archive
We expect that the entire Arcadia Data organization will join Cloudera.
More than that, a paperless working environment enhances data organization, storage, and retention which are all vital in protecting the privacy and security of members' records," Aranas said.
The updated SIMCA focuses on delivering complete data analysis, from data organization through to data-driven decision making, supported by multivariate models for single and multiblock analysis.
Remington College's Database Management and Administration Degree Program covers a range of fundamental skills and training in data organization, storage, integration and analysis.
Based on the authors' experiences teaching scientific computing at the University of Chicago, this textbook emphasizes the automation of repetitive tasks and the construction of pipelines for data organization, analysis, visualization, and publication.
An Irish company headquartered in Dublin, Cyclonis Limited designs and develops desktop, mobile, and cloud-enabled software products focused on simplifying data organization and management.
The result: data organization is poor more often than not.
The program is comprised of two unique certificates: the Certificate in Big Data Analytics, which teaches data analytics foundations, and the basic methods and toolsets needed to succeed in the field; and the Certificate in Advanced Data Science and Predictive Analytics, which focuses on data organization for analysis and advanced methods and analytics for those looking to pursue the Certified Analytics Professional (CAP) designation.
PLDT's Big Data Organization and MarketBuilder helps MSMEs by providing them with the advantages of big data.
To identify risk factors for aviation-related wildland firefighter activities, NIOSH reviewed and extracted case reports from the Fire Administration Firefighter Fatality surveillance system, the National Fire Protection Association Fire Incident Data Organization database, the National Wildland Coordinating Group's Safety Gram, and the National Transportation Safety Board aviation database.
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