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Data mart

About: Data mart is a research topic. Over the lifetime, 559 publications have been published within this topic receiving 8550 citations.


Papers
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Patent
22 Feb 2019
TL;DR: In this paper, the authors proposed a big data label data updating method and device, a medium and an electronic device, which consists of the following steps: acquiring massive user data, and establishing a data mart according to user data; establishing a user tag through user attributes of the data mart; receiving an update mode and a tag combination, and updating that tag combination according to the update mode.
Abstract: The embodiment of the invention relates to the technical field of big data, and provides a big data label data updating method and device, a medium and an electronic device. The tag data updating method comprises the following steps: acquiring massive user data, and establishing a data mart according to the user data, wherein, the data mart comprises a plurality of user attributes of each user; establishing a user tag through user attributes of the data mart; receiving an update mode and a tag combination, and updating that tag combination according to the update mode. The technical proposal of the embodiment of the invention is completed based on the mass user data, which is beneficial to the flexibility of updating the tag data, and at the same time, meets the personalized requirements of the tag consumption layer, thereby improving the practicability of the tag data.

3 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present a case in which the College of Business at a state university in the southern United States has implemented an information system (IS) with a data mart.
Abstract: This paper presents a case in which the College of Business (COB) at a state university in the southern United Sates has implemented an information system (IS) with a data mart. The system has been...

3 citations

Patent
25 Nov 2015
TL;DR: In this article, a method and a device for data sharing among data marts is presented. The method comprises that a data document is extracted from a data warehouse, and the data documents are copied into a preset mart storage sharing area and taken as a copy document of the data document; and an external table corresponding to the copy document inside the mart sharing area is established in a data mart server.
Abstract: The invention discloses a method and a device for data sharing among data marts The method comprises that a data document is extracted from a data warehouse, and the data document is copied into a preset mart storage sharing area and taken as a copy document of the data document; and an external table corresponding to the copy document inside the mart storage sharing area is established in a data mart server, wherein the external table comprises a storage path which points at the copy document inside the mart storage sharing area, so that the data marts can obtain the copy document corresponding to the external table by checking the external table The method and the device for the data sharing among the data marts provided by the invention realize the purpose of the data sharing among the multiple data marts, avoid wasting in resource storage, and solve the problem about consistency of data access among the data marts

3 citations

01 Jan 2006
TL;DR: A consolidated database, or Data Mart design and implementation to store data from multiple Snort NIDS devices is described, designed for reporting and analysis and can provide a platform for better understanding of NIDS device information.
Abstract: Network Intrusion Detection Systems (NIDS) capture large amounts of data that is difficult or impractical to report and analyze directly from the capture device. It is also common to have more than one NIDS device and reporting from a consolidated multi-NIDS device. To provide a platform for multi-NIDS device reporting and analysis, this paper describes a consolidated database, or Data Mart design and implementation to store data from multiple Snort NIDS devices. This consolidated Snort Mart is designed for reporting and analysis and can provide a platform for better understanding of NIDS device information

3 citations

Book ChapterDOI
01 Jan 2013
TL;DR: This chapter deals with the following topics: multistructured data in the form of social media and audio/video, and the way data is ingested, preprocessed, validated, and/or cleansed and integrated or co-related with nontextual formats.
Abstract: Traditional business intelligence (BI) and data warehouse (DW) solutions use structured data extensively Database platforms such as Oracle, Informatica, and others had limited capabilities to handle and manage unstructured data such as text, media, video, and so forth, although they had a data type called CLOB and BLOB; which were used to store large amounts of text, and accessing data from these platforms was a problem With the advent of multistructured (aka unstructured) data in the form of social media and audio/video, there has to be a change in the way data is ingested, preprocessed, validated, and/or cleansed and integrated or co-related with nontextual formats This chapter deals with the following topics:

3 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202113
202020
201926
201823
201726
201627