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Aggregate query in Polish translation English
aggregate query translation in English-Polish dictionary en In order to follow the progress made towards the goals set in the OP the MAs need either to have access to complete reliable and timely data at participant level that allows them to launch all the necessary queries or have at their disposal the necessary aggregated information provided to them by the intermediate
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Aggregate
Aggregate-Query Processing in Data Warehousing Environments* Ashish Gupta Venky Harinarayan Dallan Quass IBM Almaden Research Center Abstract In this paper we introduce generalized pro- jections (GPs) an extension of duplicate- eliminating projections that capture aggre- gations groupbys duplicate-eliminating pro-
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Creating and Modeling Aggregate Tables
Click Next to proceed to the Aggregate Definition window This window displays the Oracle BI EE logical SQL that generates the aggregate tables based on the parameters defined in the other wizard windows This script tells the BI Server what to name the star where to source it from what facts to include and what its grain is
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Aggregate data faster with approximate query processing
The purpose of this blog article is to show the reader how to use approximate queries and more importantly how to evaluate and decide when to use them The article includes an introduction to the approximate query processing concept a definition of the available functions
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Assembling Regions for Efficacious Aggregate Query
Assembling Regions for Efficacious Aggregate Query Processing in Wireless Sensor Networks by Apostolos Fertis Diploma Electrical and Computer Engineering (2003) National Technical University of Athens Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements of
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Aggregate Query Processing In Peer To Peer Networks
Range of Query Processing in Peer to Peer Networks Book Title Instrumentation Measurement Circuits and Systems aggregate query processing computer networks click here to get more infomation about aggregate query processing sensor networks aggregate query processing in peer to peer networks with
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Predicted range aggregate processing in spatio
Predicted Range Aggregate Processing in Spatio-temporal Databases Wei Liao Guifen Tang Ning Jing Zhinong Zhong School of Electronic Science and Engineering National University of Defense Technology Changsha China liaoweinudtyahoo cn Abstract Predicted range aggregate (PRA) query is an important researching issue in spatio-temporal
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c#
Definition Aggregate method is an extension method for generic collections Aggregate method applies a function to each item of a collection Not just only applies a function but takes its result as initial value for the next iteration So as a result we will get a computed value (min max avg or other statistical value) from a collection
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Clustering spatial networks for aggregate query
In spatial networks clustering adjacent data to disk pages is highly likely to reduce the number of disk page accesses made by the aggregate network operations during query processing For this purpose different techniques based on the clustering graph model are proposed in
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Query Processing Architecture Guide
Query Processing Architecture Guide 02/21/2020 89 minutes to read +8 In this article APPLIES TO: SQL Server Azure SQL Database Azure Synapse Analytics (SQL DW) Parallel Data Warehouse The SQL Server Database Engine processes queries on various data storage architectures such as local tables partitioned tables and tables distributed across multiple
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The generalized pre
In the presence of these access methods new processing and optimization techniques have been recently proposed One important such optimization technique called Hierarchical Pre-Grouping uses the hierarchical surrogate keys in order to aggregate the fact table tuples as early as possible and to avoid redundant joins
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c#
Definition Aggregate method is an extension method for generic collections Aggregate method applies a function to each item of a collection Not just only applies a function but takes its result as initial value for the next iteration So as a result we will get a computed value (min max avg or other statistical value) from a collection
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Index grouping implementation
This query can be rewritten by the optimizer to use the EVI This pre-summarized processing works for DISTINCT processing GROUP BY and for column function COUNT All columns of the table referenced in the query must also be in the key definition of the EVI So for example the following query can be made to use the EVI: SELECT DISTINCT col1
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Terms Aggregation
05 05 2020terms aggregation should be a field of type keyword or any other data type suitable for bucket aggregations This can be achieved by grouping the field's values into a number of partitions at query-time and processing only one partition in each request You can aggregate on this single field
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A Hybrid Aggregate Index Method for Trajectory Data
The aggregate query of moving objects on road network keeps being popular in the ITS research community The existing methods often assume that the sampling frequency of the positioning devices like GPS or roadside radar is dense enough making the result's uncertainty negligible However such assumption is not always tenable especially in the extreme occasions like
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Creating and Modeling Aggregate Tables
Click Next to proceed to the Aggregate Definition window This window displays the Oracle BI EE logical SQL that generates the aggregate tables based on the parameters defined in the other wizard windows This script tells the BI Server what to name the star where to source it from what facts to include and what its grain is
Get More
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Aggregate Cache
The aggregate cache entry is first created during query processing (Fig 3) and it is maintained during the deltamerge operations Aggregate cache metrics are maintained for each entry including the aggregate's size the number of aggregated records execution times for delta and main compensations maintenance times and usage information
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