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approximate aggregate query processing olap

Compressed Data Cubes for OLAP Aggregate Query ...

Queries over more than one target measure or using different aggregate functions, along with the aggregation function of interest, is fixed for each cube. Queries over more than one target measure or using different aggregation functions, would require pre-computing larger data cubes.

Compressed Data Cubes for OLAP Aggregate Query ...

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].

Models and Techniques for Approximate Queries in OLAP ...

Models and Techniques for Approximate Queries in OLAP: 10.4018/ 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

Approximate Query Processing – Where do we go from here ...

 · For batch analytic queries, approximate query processing can increase throughput, and for interactive queries, approximate query processing can reduce latency. Thus, if we can realize the potential of approximate query processing, we may be able to speed up our ability to explore a vast amount of data inexpensively and quickly.

Approximate Query Processing using Deep Generative Models

and natural language processing. Furthermore, the task of generating approximate estimates for an aggregate query is quite di erent from common DL tasks such as classi ca-tion or regression. However, a rigorous investigation shows that AQP using DL models is not only feasible but can be achieved in an e ective and e cient manner.

Answering Approximate Range Aggregate Queries on OLAP …

Request PDF on ResearchGate | Answering Approximate Range Aggregate Queries on OLAP Data Cubes with Probabilistic Guarantees | Approximate range aggregate queries are one of …

When Should Approximate Query Processing Be Used? - High ...

When Should Approximate Query Processing Be Used? Thursday, Febru 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 …

Approximate query processing using wavelets - …

has spurred a flurry of research activity on approximate query processing techniques in recent years [1,7,9,11,12,16,26,33, 34]. The majority of the proposed techniques, however, have been somewhat limited in their query processing scope , typi-cally focusing on specific forms of aggregate queries . …

Evaluation of Top-k OLAP Queries Using Aggregate R–trees

ward method to evaluate a top-k OLAP query is to compute the aggregate value for each group and then select the groups with the highest aggregates. In this paper, we study the integration of the top-k operator with the aggregate query processing module. …

Abstract For Aggregate Query Processing In Peer To P

aggregate query processing . aggregate query processing in peer to peer source … download Query processing in peer to peer network project base paper pdf, source code and project report with ppt.which is implemented in visual studio C#.Net platform. abstract for aggregate query processing in peer to p. Contact Supplier-->

definition of aggregate query processing

Aggregate-Query Processing in Data Warehousing Environments view definition.Figure 3 is obtained. Using our algorithm for an- swering aggregate queries using materialized aggregate views (see Section 5), we can now ...

Accuracy Vs Lifetime: Linear Sketches for Appoximate ...

Accuracy Vs Lifetime: Linear Sketches for Appoximate Aggregate Range Queries in Sensor Networks1,2 Konstantinos Kalpakis, Vasundhara Puttagunta and Parag Namjoshi Abstract Query processing in sensor networks is critical for several sensor based monitoring applications and poses several challenging research problems.

CiteSeerX — Citation Query Data Cube Approximation and ...

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.

Approximate Aggregate Query Processing: Olap

Approximate Aggregate Query Processing: Olap Stefania Marrara Politecnico di Milano [email protected] 2 Outline • Intro & Approximate Query Answering Overview – Synopses • One-Dimensional Synopses – Histograms, Samples, Wavelets • Multi-Dimensional Synopses and Joins – Multi-D Histograms, Join synopses, Wavelets • Discussion ...

A Probabilistic Model for Data Cube Compression and Query ...

Databases and data warehouses contain an overwhelming volume of information that users must wade through in order to extract valuable and actionable knowledge to support the decision-making process. This contribution addresses the problem of automatically analyzing large multidimensional tables to get a concise representation of data, identify patterns and provide approximate answers to queries.

Dynamic Sample Selection for Approximate Query …

The area of approximate answering of aggregate queries has been the subject of extensive research. Hellerstein et al. [22, 26] describe techniques for online aggregation in which approximate answers for queries are produced during early stages of query processing and gradually refined until all the data has been processed. The online ...

Answering approximate range aggregate queries on OLAP data ...

However, previous work only focused on the choice of the outliers and did not address the important issue as how to 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.

Online analytical processing - Wikipedia

Online analytical processing, or OLAP (/ ˈ oʊ l æ p /), is an approach to answer multi-dimensional analytical (MDA) queries swiftly in computing. OLAP is part of the broader category of business intelligence, which also encompasses relational databases, report writing and data mining.

System Architecture for Approximate Query Processing

making is based on On-Line Analytical Processing, data mining, or approximate query processing. In the last ... approximate query processing, OLAP, data warehouse, Business Intelligence tool, ADAP system 1. Introduction ... summary data and the execution of aggregate queries. This kind of queries needs to access all the data stored in

Models and Techniques for Approximate Queries in OLAP

answers to aggregate queries has become a tight requirement Business analysis is the main application ield in the context to make DSS-based applications eficient, and, thus, has been of DSS, as well as OLAP queries being the most useful ones; addressed in research in the vest of the so-called approximate in fact, these queries allow us to ...

Approximate Query Processing Using Wavelets in OLAP with ...

Analysis of the existing techniques for approximate query processing of Big Data, based on sampling, histograms and wavelets, demonstrates that wavelet-bas Approximate Query Processing Using Wavelets in OLAP with Arbitrarily Sized Data and Bounded Errors - IEEE Conference Publication

Accuracy Vs Lifetime: Linear Sketches for Appoximate ...

Accuracy Vs Lifetime: Linear Sketches for Appoximate Aggregate Range Queries in Sensor Networks1,2 Konstantinos Kalpakis, Vasundhara Puttagunta and Parag Namjoshi Abstract Query processing in sensor networks is critical for several sensor based monitoring applications and poses several challenging research problems.

Approximate Query Processing in Decision Support System ...

Key-Words: - Aggregate queries, Approximate query answering, Data warehouses, Multidimensional data distribution, OLAP applications. 1 Introduction Approximate query processing is an investigation area of increasing interest. Classically, the database community was interested in the description of data

definition of aggregate query processing - Mine Equipments

Aggregate-Query Processing in Data Warehousing Environments view definition.Figure 3 is obtained. Using our algorithm for an- swering aggregate queries using materialized aggregate views (see Section 5), we can now ...

A Robust, Optimization-Based Approach for Approximate ...

A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries ... decision support applications such as On Line Analytical Processing (OLAP) and data mining for analyzing ... so that approximate query processing using the sample is effective

Approximate OLAP Query Processing over Uncertain and ...

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 multidimensional data streams that …

4 Querying Dimensional Objects Using SQL - Oracle

4 Querying Dimensional Objects Using SQL. You can query the rich data stored in dimensional objects using SQL. This chapter explains the basics of querying relational views of cubes and dimensions. This chapter includes the following topics: Querying Dimensional Data in SQL. Exploring the Shape of OLAP Views. Creating Basic Queries

Accuracy Vs. Lifetime: Linear Sketches for Approximate ...

approach that is inspired by OnLine Analytical Processing (OLAP) and query processing over streams. The idea is to maintain and update a small space summary data{structure in one{pass over the data or as data appear in the stream. The summary data{structure is thenusedto directly answer queries quickly in an approximate manner. The constraints

Approximate query processing using wavelets

has spurred a flurry of research activity on approximate query processing techniques in recent years [1,7,9,11,12,16,26,33, 34]. The majority of the proposed techniques, however, have been somewhat limited in their query processing scope , typi-cally focusing on specific forms of aggregate queries . …

Providing probabilistically-bounded approximate answers to ...

Providing Probabilistically-Bounded Approximate Answers to Non-Holistic Aggregate Range Queries in OLAP Alfredo Cuzzocrea DEIS Dept., University of Calabria Via P. Bucci, Cosenza, Italy [email protected] ABSTRACT Mining tasks inferring useful knowledge from huge amounts A novel framework for providing probabilistically-bounded of data.

Approximate Query Processing Using Wavelets

the scope of earlier work on approximate query answers, establishing the viability and effectiveness of wavelets as a generic approximate query processing tool for modern, high-dimensional DSS applications. More specifically , we propose a novel approach to general-purposeapprox-imate query processing that consists of two basic steps.

Online analytical processing (OLAP) | Microsoft Docs

Online analytical processing (OLAP) 02/12/2018; 8 minutes to read +1; In this article. Online analytical processing (OLAP) is a technology that organizes large business databases and supports complex analysis. It can be used to perform complex analytical queries without negatively affecting transactional systems.