Results 251 to 260 of about 35,828 (278)
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2003
Publisher Summary This chapter discusses the features defined by Structured Query Language/Online Analytical Processing (SQL/OLAP), including both the underlying concepts and the actual SQL syntax used to accomplish the goals meant to be satisfied by the standard. The most fundamental enhancement that SQL/OLAP adds to the SQL language is the notion of
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Publisher Summary This chapter discusses the features defined by Structured Query Language/Online Analytical Processing (SQL/OLAP), including both the underlying concepts and the actual SQL syntax used to accomplish the goals meant to be satisfied by the standard. The most fundamental enhancement that SQL/OLAP adds to the SQL language is the notion of
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A framework for recommending OLAP queries
Proceedings of the ACM 11th international workshop on Data warehousing and OLAP, 2008An OLAP analysis session can be defined as an interactive session during which a user launches queries to navigate within a cube. Very often choosing which part of the cube to navigate further, and thus designing the forthcoming query, is a difficult task.
Giacometti, Arnaud +2 more
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Advanced Materials Research, 2014
s.The technology and principle involved in the on-line analytical processing is presented in theory, such as an overview of the on-line analytical technology, the operation of the on-line analytical technology, etc, which sets a technological foundation to build a system to realize online analysis.
Wei Wang, Lei Sun, Hong Mei Xing
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s.The technology and principle involved in the on-line analytical processing is presented in theory, such as an overview of the on-line analytical technology, the operation of the on-line analytical technology, etc, which sets a technological foundation to build a system to realize online analysis.
Wei Wang, Lei Sun, Hong Mei Xing
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Encyclopedia with Semantic Computing and Robotic Intelligence, 2017
The objective of this tutorial is to present an overview of machine learning (ML) methods. This paper outlines different types of ML as well as techniques for each kind. It covers popular applications for different types of ML. On-Line Analytic Processing (OLAP) enables users of multidimensional databases to create online comparative summaries of data.
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The objective of this tutorial is to present an overview of machine learning (ML) methods. This paper outlines different types of ML as well as techniques for each kind. It covers popular applications for different types of ML. On-Line Analytic Processing (OLAP) enables users of multidimensional databases to create online comparative summaries of data.
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The Case for Mobile OLAP [PDF]
, 2004 On-Line Analytical Processing (OLAP) is a trend in database technology, based on the multidimensional view of data Numerous applications and development environments exist, offering OLAP analysis to developers, analysts and end users Further more, mobile devices find their way into almost all aspects of every day life, ranging from cellular phones with
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2019
The expansion of IoT devices and monitoring needs, powered by the capabilities and accessibility of Cloud Computing, has led to an explosion of streaming data and exposed the need for every organization to exploit it. This paper reviews the evolution of Data Stream Management Systems (DSMS) and the convergence into Online Analytical Processing (OLAP ...
Carlos Garcia-Alvarado +3 more
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The expansion of IoT devices and monitoring needs, powered by the capabilities and accessibility of Cloud Computing, has led to an explosion of streaming data and exposed the need for every organization to exploit it. This paper reviews the evolution of Data Stream Management Systems (DSMS) and the convergence into Online Analytical Processing (OLAP ...
Carlos Garcia-Alvarado +3 more
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2006
Publisher Summary Online analytical processing (OLAP) uses a snapshot of a database taken at one point in time and then puts the data into a dimensional model. The purpose of this model is to run queries that deal with aggregations of data rather than individual transactions.
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Publisher Summary Online analytical processing (OLAP) uses a snapshot of a database taken at one point in time and then puts the data into a dimensional model. The purpose of this model is to run queries that deal with aggregations of data rather than individual transactions.
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One size does not fit all: accelerating OLAP workloads with GPUs
Distributed and parallel databases, 2020Yansong Zhang +5 more
semanticscholar +1 more source
2005
Information systems provide organizations with the necessary information to achieve their goals. Relevant information is gathered and stored to allow decision makers to obtain quick and elaborated reports from the data.
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Information systems provide organizations with the necessary information to achieve their goals. Relevant information is gathered and stored to allow decision makers to obtain quick and elaborated reports from the data.
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