Results 41 to 50 of about 34,455 (228)
QB4MobOLAP: A Vocabulary Extension for Mobility OLAP on the Semantic Web
Algorithms, 2021 The accessibility of devices that track the positions of moving objects has attracted many researchers in Mobility Online Analytical Processing (Mobility OLAP).
Irya Wisnubhadra +3 more
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, 2013 In OLAP, analysts often select an interesting sample of the data. For example, an analyst might focus on products bringing revenues of at least 100 000 dollars, or on shops having sales greater than 400 000 dollars.
Antony +34 more
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Informatică economică, 2006 The Oracle OLAP option of Oracle Database 10g Enterprise Edition provides advanced analytic features to help us to summarize, analyze and calculate data faster than standard SQL.
Mihaela MUNTEAN
doaj
Hierarchical Topic Modeling of Twitter Data for Online Analytical Processing
IEEE Access, 2019 Social platforms, such as Twitter, reveal much about the tastes of the public. Many studies focus on the content analysis of social platforms, which assists in product promotion and sentiment investigation. On the other hand, online analytical processing
Dongjin Yu +3 more
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Approximate Query Processing: What is New and Where to Go?
Data Science and Engineering, 2018 Online analytical processing (OLAP) is a core functionality in database systems. The performance of OLAP is crucial to make online decisions in many applications.
Kaiyu Li, Guoliang Li
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Optimization of Analytical Queries in Heterogeneous Systems
Современные информационные технологии и IT-образование, 2021 According to International Data Corporation (IDC) reports, humankind produced more than 64 zettabytes of data in 2020. Global data creation and replication are expected to grow 23% annually between 2020 and 2025.
Petr Kurapov, Areg Melik-Adamyan
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OLAP TECHNOLOGY AS DECISION-MAKING SUPPORT TOOL
Литьë и металлургия, 2017 The present article discloses the basic principles of work with OLAP technologies, shows key features in comparison with traditional systems of the reporting.
D. V. Akushko
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The Data Lakehouse: Data Warehousing and More [PDF]
arXiv, 2023 Relational Database Management Systems designed for Online Analytical Processing (RDBMS-OLAP) have been foundational to democratizing data and enabling analytical use cases such as business intelligence and reporting for many years. However, RDBMS-OLAP systems present some well-known challenges.
arxiv
Meta-Modeling of Big Data visualization layer using On-Line Analytical Processing (OLAP)
International Journal of Advanced Trends in Computer Science and Engineering, 2019 Big data is about collecting, storing, managing, processing massive quantities of daa, but it is also about presenting various insights into the collected data through visualization.
Allae Erraissi
semanticscholar +1 more source
Development of Data Warehouse for Financial Report in Faculty of Science, Naresuan University
วารสารวิทยาการสารสนเทศและเทคโนโลยีประยุกต์, 2022 Data warehouse technology is useful for managing large data. The purpose of them are analyzing organization’s datasets to formulate a strategy and direction of the organization. In this paper have present method of the development of data warehouse based
Kittipong Songsiri, Kreangsak Tamee
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