definition of aggregate query processing

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abstract for aggregate query processing in peer to peer
Aggregate Query Processing In Peer To Peer CiteSeerX — Citation Query Aggregate Queries in Peer Efficient Approximate Query Processing in Peer-to-Peer Networks by Benjamin Arai Student Member Gautam Das Dimitrios Gunopulos Vana Kalogeraki Abstract—Peer-to-peer (P2P) databases are becoming prevalent on the Internet for distribution and sharing of
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Queries
Define queries queries synonyms queries pronunciation queries translation English dictionary definition of queries n pl queries 1 A question an inquiry 2 A doubt in the mind a mental reservation 3 the motivation is for decision makers to accelerate XML query processing in a data warehouse
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Efficient SUM Query Processing over Uncertain Data
Key words: Probabilistic databases query processing aggregate queries 1 INTRODUCTION Aggregate (or aggr for short) queries in particular SUM queries are crucial for many applications that need to deal with probabilistic data [13][17][25] Let us give two motivating examples from the medical and environmental domains
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Data warehouse
ELT based data warehousing gets rid of a separate ETL tool for data transformation Instead it maintains a staging area inside the data warehouse itself In this approach data gets extracted from heterogeneous source systems and are then directly loaded into the data warehouse before any transformation occurs
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Using User
Overview of User-Defined Aggregate Functions Oracle provides a number of pre-defined aggregate functions such as MAX MIN and SUM for performing operations on a set of rows These pre-defined aggregate functions can be used only with scalar data not with complex data types such as multimedia data stored using object types opaque types and LOBs
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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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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 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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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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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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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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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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The Generalized Pre
The Generalized Pre-Grouping Transformation: Aggregate- Query Optimization in the Presence of Dependencies Aris Tsois Timos Sellis Institute of Communication and Computer Systems and School of Electrical and Computer Engineering National Technical University of Athens Zographou 15773 Athens Hellas {atsois timos }dblab ece ntua gr Abstract One of
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OBIEE
If you perform explicit aggregation (SUM AVG MIN MAX or COUNT) on a measure column (default aggregation rule defined in the Aggregation tab of the Logical Column) through a Logical SQL request you are actually asking for an aggregate of an aggregate This article talks about two types of nested aggregate measure :
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What is aggregate data in healthcare?
Aggregate data is used to develop information about groups of patients It allows healthcare professionals to to identify common characteristics that might predict the course of the disease or provide information about the most effective way to treat a disease It is often used for disease prevention purposes
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Definition of aggregate query processing
Definition of aggregate query processing in this paper we propose to directly estimate the aggregate query result on incomplete data rather than imputing the missing values an interval estimation composed of the upper and lower bound of aggregate query results among all possible interpretation of missing values are presented to the endusers Aggregate Query Processing
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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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US7912833B2
A system and method include obtaining a query and identifying an aggregate join index (AJI) at a high level of aggregation The dimension table may be rolled-up with the grouping key being the union of the grouping key in the AJI and the grouping key of the query The identified AJI is joined with the rolled-up dimension table to obtain columns in the query that are not in the identified AJI
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What is Query?
Query: A query is a request for data or information from a database table or combination of tables This data may be generated as results returned by Structured Query Language (SQL) or as pictorials graphs or complex results e g trend analyses from data-mining tools One of several different query languages may be used to perform a range
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Approximate Query Processing: What is New and
Online analytical processing (OLAP) is a core functionality in database systems The performance of OLAP is crucial to make online decisions in many applications However it is rather costly to support OLAP on large datasets especially big data and the methods that compute exact answers cannot meet the high-performance requirement To alleviate this problem approximate query processing
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SQL Query Processing
Introduction to Query Processing Query Processing is a translation of high-level queries into low-level expression It is a step wise process that can be used at the physical level of the file system query optimization and actual execution of the query to get the result
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What is data aggregation?
For example a site that sells music CDs might advertise certain CDs based on the age of the user and the data aggregate for their age group Online analytic processing is a simple type of data aggregation in which the marketer uses an online reporting mechanism to
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