approximate aggregate query processing olap

  • definition of aggregate query processing rrcser

    Efficient OLAP Query Processing in Distributed Data Warehouses group definition and aggregate computation, allowing considerable flexibility in the expression of OLAP queries. The processing and optimization of these com-.

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  • aggregate query processing in data warehousing

    approximate aggregate query processing olap Probabilistic Threshold Range Aggregate Query Processing over A range aggregate query (RA query) on certain data returns summarized information about query processing techniques are presented in Section 3 and Section 4, respectively.

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  • Optimized Stratified Sampling for Approximate Query Processing

    that approximate query processing using the sample is effective not only for workloads that are identical to the given workload, but also for the lifted workload model – i.e., for workloads that are "similar" to the given workload in the sense the queries select regions

    :ACM Transactions on Database Systems · 2007:Surajit Chaudhuri · Gautam Das · Vivek R Narasayya: Microsoft · University of Texas at Arlington:Decision support system · Workload · Data mining · Information system · Sampling · Algo…...
  • Evaluation of Top-k OLAP Queries Using Aggregate R–trees

    approximate aggregate query processing olap An interesting OLAP query generalization is the iceberg query [5]; the user is only interested in cells of the cuboid with aggregate values larger than a threshold t (e.g., "find the sum of sales for each combination of product-type and month, only for combi-

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  • LNCS 3181 Answering Approximate Range Aggregate …

    efficient approximate query processing. Answering Approximate Range Aggregate Queries on OLAP Data Cubes 99 Fig. 1. Technique overview In the rest of the paper, we assume the MOLAP storage model, which is more effi Answering Approximate Range Aggregate Queries on OLAP …

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  • Planning for SAS OLAP Cubes: Aggregation Design

    Aggregation Design. Efficient drilling or traversing of the cube data is a key factor in flexible and swift decision making and analysis. In order to maintain speed and consistency in reporting, data is usually pre-calculated or aggregated.

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  • Answering Approximate Range Aggregate Queries on OLAP …

    organize those outliers to support efficient approximate query processing. In this paper we address the issue of providing fast approximate answers to range queries on OLAP data cubes.

    :data warehousing and knowledge discovery · 2004:Alfredo Cuzzocrea · Wei Wang · Ugo Matrangolo: University of Calabria · University of New South Wales · Indian Council of Agricultural R…:Anomaly detection · Data warehouse · Range query · Sampling · Load balancing · Deci…...
  • Approximate answers to OLAP queries on streaming data

    approximate aggregate query processing olap We consider the relative answers to OLAP queries on a schema, as distributions with the L1 distance and approximate the answers without storing the entire data warehouse. We first study how to sample each source and combine the samples to approximate any OLAP query.

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  • What is an Aggregate? OLAP Aggregate Definition

    approximate aggregate query processing olap What is an Aggregate? Multidimensional databases generally have hierarchies or formula-based relationships of data within each dimension. Aggregation or consolidation involves computing all of these data relationships for one or more dimensions, for example, adding up all Departments to get Total Department data.

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  • Online aggregation with tight error bounds in dynamic

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    The data cube provides a useful analysis tool on data called the OLAP range-sum queries that applies an aggregate operation to the measure attribute within the range of the query . A typical example includes 'find the total amount of sales in Seoul for customers aged …

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  • Efficient OLAP query processing in distributed data

    Business Intelligence solutions, encompassing technologies such as multi-dimensional data modeling and aggregate query processing, are being applied increasingly to non-traditional data. This paper extends multi-dimensional aggregation to apply to data with …

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  • aggregate query processing in data warehousing

    Online analytical processing Wikipedia, the free encyclopedia. In computing, online analytical processing, or OLAP is an approach to answering

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  • Aggregate (MDX) IcCube

    approximate aggregate query processing olap Aggregate(member-set,numeric-expression) Returns a numeric value which is the aggregation of member-set values. On the example we aggregate the sales for all the calendar months.

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  • Revisiting Reuse for Approximate Query Processing VLDB

    Revisiting Reuse for Approximate Query Processing stead rely upon approximate query processing (AQP) tech-niques, which provide query result estimates with bounded errors. Many AQP systems use some form of biased sam cutes an aggregate query …

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  • Accuracy Vs. Lifetime: Linear Sketches for Approximate

    Lifetime: Linear Sketches for Approximate Aggregate Range Queries in Sensor Networks and use themto answer aggregate queries in an approximate manner at the base{station. There is a trade{o between (OLAP) and query processing over streams. The idea is to

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  • Approximate Query Processing Using Wavelets

    approximate aggregate query processing olap 3 Why do we need Approximate Query Processing? n Characteristics of DSS applications – Huge Amount of Data(GB/TB) – High Query Complexity – Stringent response-time requirement n EXACT answer NOT always required – Exploratory nature of DSS applications – Aggregate query : Precision to penny?NO – Fast, approximate answer is preferable n Approximate Query Processing

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  • Approximate Query Processing Using Wavelets

    Approximate query processing has recently emerged as a viable solution for dealing with the huge amounts of data, the high query complexities, and the increasingly

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  • Answering Approximate Range Aggregate Queries on OLAP Data

    Approximate range aggregate queries are one of the most frequent and useful kinds of queries for Decision Support Systems (DSS). Traditionally, samplingbased techniques have been proposed to tackle this problem. However, its effectiveness will degrade when the underlying data distribution is

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  • Spatial Hierarchy and OLAP-Favored Search in Spatial Data

    query Q1 where the region is defined ad-hoc, OLAP query processing engine needs to first check the spatial index on the location dimension to get all the intermediate aggregated nodes ID.

    :data warehousing and olap · 2003:Fangyan Rao · Long Zhang · Xiu Lan Yu · Ying Li · Ying Chen: Ibm:Data warehouse · Spatial database · Business intelligence · Heuristic · Spatial analysis · In…...
  • When Should Approximate Query Processing Be Used? High

    When Should Approximate Query Processing Be Used? Thursday, February 25, 2016 at 7:19AM This is a guest repost by Barzan Mozafari, an assistant professor at University of Michigan and an advisor to a new startup, snappydata.io, that recently launched an open source OLTP + OLAP …

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  • CiteSeerX — Citation Query Data Cube Approximation and

    approximate aggregate query processing olap Approximate query processing has emerged as a cost-effective approach for dealing with the huge data volumes and stringent response-time requirements of today's decision support systems (DSS). Most work in this area, however, has so far been limited in its query processing scope, typically focusing on specific forms of aggregate queries.

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  • Models and Techniques for Approximate Queries in OLAP

    Models and Techniques for Approximate Queries in OLAP: 10.4018/978-1-60566-026-4.ch425: Since the size of the underlying data warehouse server (DWS) is usually very large, response time needed for computing queries is the main issue in decision

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  • Compressed data cubes for OLAP aggregate query

    Compressed data cubes for OLAP aggregate query approximation on continuous dimensions. Full Text: Get this Article: Ezio Lefons, Filippo Tangorra, Accuracy estimation in approximate query processing, Proceedings of the 14th WSEAS international conference on Computers: part of the 14th WSEAS CSCC multiconference, p.452-458, July 23-25

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  • Approximate Query Processing in Cube Streams dl.acm

    approximate aggregate query processing olap Data cubes have become important components in most data warehouse systems and Decision-Support-Systems. In such systems, users usually pose very complex queries to the Online Analytical Processing (OLAP) system, and systems usually have to deal with a huge amounts of data because of the large dimensionality of the sets; thus approximating query processing has emerged as a viable …

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  • US6108647A Method, apparatus and programmed medium for

    approximate aggregate query processing olap A novel and unique method of approximating the data cube and summarizing database data in order to provide quick and approximate answers to aggregate queries by precomputing a summary of the data cube using histograms and answering queries using the substantially smaller summary.

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