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Answering approximate range aggregate queries on OLAP
Approximate range aggregate queries are one of the most frequent and useful kinds of queries for Decision Support Systems (DSS). Traditionally, sampling-based techniques have been proposed to tackle this problem. However, its effectiveness will
Compressed Data Cubes for OLAP Aggregate Query
Approximate query processing (AQP) is an interesting alternative for exact query processing. The data cube is frequently adopted to implement On
Approximate Query Processing Using Wavelets in OLAP
Abstract: Analysis of the existing techniques for approximate query processing of Big Data, based on sampling, histograms and wavelets, demonstrates that wavelet-based methods can be effectively utilized for OLAP purposes due to their advantages in terms of handling multidimensional data and querying single cells as well as aggregate values from a data
Approximate OLAP Query Processing over Uncertain and
2013-8-26 · Abstract. Anovel framework for estimating OLAP queries over uncertain and imprecise multidimensional data streams is introduced and experimentally assessed in this paper. We complete our theoretical contributions by means of an innovative approach for providing theoretically-founded estimates to OLAP queries over uncertain and imprecise
Cited by: 6
Compressed Data Cube for Approximate OLAP Query
Approximate query processing has emerged as an approach to dealing with the huge data volume and complex queries in the environment of data warehouse.
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Compressed Data Cubes for OLAP Aggregate Query
2016-5-21 · OLAP, data cubes, clustering, density estimation, approximate query answering, data mining. 1. INTRODUCTION There has been much work on answering multi-dimensional aggregate queries efficiently, for example the data cube operator [13]. OLAP systems perform queries fast by pre-computing all or part of the data cube [15].
Processing complex aggregate queries over data streams
2002-6-3 · Processing complex aggregate queries over data streams. and K. Shim. "Approximate Query Processing Using Wavelets". In Proc. of the 26th Intl. Conf. on Very Large Data Bases, September 2000. Google Scholar Digital Library; S. Chaudhuri and U. Dayal. "An Overview of Data Warehousing and OLAP Technology". ACM SIGMOD Record, 26(1), March
Cited by: 460[PDF]
ICICLES: Self-tuning Samples for Approximate Query
2000-9-7 · analytic processing (OLAP) systems for decision support. The goal of these systems is to provide interactive response times to aggregate queries. However, very large database sizes may not allow true interactivity despite careful design and development of an OLAP system. Approximate query answering (AQUA) systems are be-
熵简技术谈 实时OLAP引擎之Apache Druid：架构、原理和
2020-8-14 · OLAP 的全称是 On-Line Analytical Processing，它与 OLTP (On-Line Transaction Processing) 的核心区别在于OLAP更适合于读多写少、针对大数据量的分析场景。 在不考虑横向扩展且数据规模不大的情况下，使用传统的关系型数据库如 MySQL，对数据加了正确的索引后，是能部分满足小数据量下的分析需求的。
十大OLAP产品比较 bjxdd 博客园
2020-9-16 · OLAP，也叫联机分析处理（Online Analytical Processing）系统，有的时候也叫DSS决策支持系统，就是我们说的数据仓库。与此相对的是OLTP（on-line transaction processing）联机事务处理系统。 联机分析处理 (OLAP) 的概念最早是由关系数据库之父E.F
Answering approximate range aggregate queries on OLAP
Approximate range aggregate queries are one of the most frequent and useful kinds of queries for Decision Support Systems (DSS). Traditionally, sampling-based techniques have been proposed to tackle this problem. However, its effectiveness will
Approximate Query Processing Using Wavelets in OLAP
Abstract: Analysis of the existing techniques for approximate query processing of Big Data, based on sampling, histograms and wavelets, demonstrates that wavelet-based methods can be effectively utilized for OLAP purposes due to their advantages in terms of handling multidimensional data and querying single cells as well as aggregate values from a data
[PDF]
Compressed Data Cubes for OLAP Aggregate Query
2016-5-21 · OLAP, data cubes, clustering, density estimation, approximate query answering, data mining. 1. INTRODUCTION There has been much work on answering multi-dimensional aggregate queries efficiently, for example the data cube operator [13]. OLAP systems perform queries fast by pre-computing all or part of the data cube [15].
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Evaluation of Top-k OLAP Queries Using Aggregate
2005-8-3 · add e9:agg = 20to the query result, without having to visit the leaf node pointed by e9. The aR–tree can also be used for approximate query processing, if partially overlapped entries are not followed, but their aggregate results are scaled based on the overlapped fraction of e.MBR [10]. 20 q x y 5 10 15 5 10 15 37 33 e4 e5 e7e8 e9 e1e 2 e3 e
Accuracy vs. lifetime: linear sketches for approximate
cal Processing (OLAP) and is the approach taken in the AQ UA project [7] for query processing ov er data streams. The idea is to maintain and update a small space summary data structure as
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ICICLES: Self-tuning Samples for Approximate Query
2000-9-7 · analytic processing (OLAP) systems for decision support. The goal of these systems is to provide interactive response times to aggregate queries. However, very large database sizes may not allow true interactivity despite careful design and development of an OLAP system. Approximate query answering (AQUA) systems are be-
Db2 for i SQL: Using OLAP specifications
Online analytical processing (OLAP) specifications provide the ability to return ranking, row numbering, and other aggregate function information as a scalar value in a query result. Example: Ranking and row numbering
SnappyData 原理和架构: 一统Streaming Processing，OLTP
2018-6-3 · SnappyData的Stream Processing主要是通过Spark Streaming来实现的，不过SnappyData优化了Stream Processing的OLAP查询能力，比如columnar formats, approximate query processing, and co-partitioning。 SnappyData的查询路由和调度 SnappyData将
SIGMOD20远距离围观 知乎
2020-6-29 · Stream processing中一个很重要的话题就是state management，本质上就是用key-value storage engine来存储stream processing时产生的state。 本文关注的问题是当需要on-the-fly reconfigure query execution plan时，如何管理大量（TB级）的state，包括降低state migration的网络开销、保证migrate过程中的exactly-once processing consistency。
大数据 CCF推荐 国际会议信息9条 知乎
2021-7-21 · 数据库管理与信息检索ICDE 2022International Conference on Data Engineering全文截稿: 2021-07-21开会时间: 2022-05-09会议难度: CCF分类: A类会议地点: Kuala Lumpur, Malaysia网址： https://icde20
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Evaluation of Top-k OLAP Queries Using Aggregate
2005-8-3 · add e9:agg = 20to the query result, without having to visit the leaf node pointed by e9. The aR–tree can also be used for approximate query processing, if partially overlapped entries are not followed, but their aggregate results are scaled based on the overlapped fraction of e.MBR [10]. 20 q x y 5 10 15 5 10 15 37 33 e4 e5 e7e8 e9 e1e 2 e3 e
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Accuracy Vs Lifetime: Linear Sketches for Appoximate
2008-3-20 · However it requires a separate aggregate to be computed and communicated for each query and hence does not scale well with the number of queries. Many applications in sensor networks require just approximate query results. In this paper, we con-sider an alternate approach inspired by techniques developed for OnLine Analytical Processing (OLAP)
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ICICLES: Self-tuning Samples for Approximate Query
2000-9-7 · analytic processing (OLAP) systems for decision support. The goal of these systems is to provide interactive response times to aggregate queries. However, very large database sizes may not allow true interactivity despite careful design and development of an OLAP system. Approximate query answering (AQUA) systems are be-
Aggregations and Aggregation Designs Microsoft Docs
2020-9-3 · However, the response can be almost immediate if the summarization data to answer this query has been precalculated. This precalculation of summary data occurs during processing and is the foundation for the rapid response times of OLAP technology. Cubes are the way that OLAP technology organizes summary data into multidimensional structures.
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Top-k Queries in Uncertain OLAP
2014-5-27 · Keywords: data warehouse, OLAP, top-k, query processing. 1 Introduction OLAP (Online Analytical Processing) [21] is a data warehouse model widely used in industry. Recently, this model has been extended to work with uncertain and imprecise data [3, 13, 15]. In OLAP, top-k query is the most dominating type of query. Although the semantics of top
What is OLAP? Database.Guide
2017-10-11 · OLAP on the other hand, is usually concerned with complex aggregate queries across large data sets (such as querying all customers’ bank accounts). Populating an OLAP Database. OLAP databases are usually populated via
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Approximate Query Processing: No Silver Bullet
2018-1-4 · Approximate Query Processing: No Silver Bullet Surajit Chaudhuri, Bolin Ding, Srikanth Kandula Microsoft Reseach {surajitc,bolind,srikanth}@microsoft ABSTRACT In this paper, we reflect on the state of the art of Approximate Query Processing. Although much technical progress has been made in
SIGMOD20远距离围观 知乎
2020-6-29 · Stream processing中一个很重要的话题就是state management，本质上就是用key-value storage engine来存储stream processing时产生的state。 本文关注的问题是当需要on-the-fly reconfigure query execution plan时，如何管理大量（TB级）的state，包括降低state migration的网络开销、保证migrate过程中的exactly-once processing consistency。
《数据库系统概念》第六版官方英文答案_一个新时代的好少年
2020-6-3 · 数据库系统概念第六版答案 （ 英文 版）含全部1-26章. 03-05. 包含 数据库系统概念第六版 全部的实践练习题 答案 ，是 英文 版的，也包含题目。. 令， 数据库系统概念 第七版将会在2019年3月12日正式出版，中文版出版日期未知，下载时请注意，童叟无欺！. 数据
Searching for Approximate Nearest Neighbours 菜鸡一枚
2015-7-15 · Searching for Approximate Nearest Neighbours Nearest neighbour search is a common task: given a query object represented as a point in some (often high-dimensional) space, we want to find other objects in that space that lie close to it.
