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Aggregate-Query Processing in Data Warehousing

2006-7-29  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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Aggregate-Query Processing in Data Warehousing ...

Home Conferences VLDB Proceedings VLDB '95 Aggregate-Query Processing in Data Warehousing Environments Article Aggregate-Query Processing in Data Warehousing Environments

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Aggregate-Query Processing in Data Warehousing ...

Aggregate-Query Processing in Data Warehousing Environments Gupta, A. and Harinarayan, V. and Quass, D. (1995) Aggregate-Query Processing in Data Warehousing Environments. In: 21th International Conference on Very Large Data Bases (VLDB 1995), September 11-15, 1995, Zurich, Switzerland.

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CiteSeerX — Aggregate-Query Processing in Data Warehousing ...

We develop powerful query rewrite rules for aggregate queries that unify and extend rewrite rules previously known in the literature. We then illustrate the power of our approach by solving a very practical and important problem in data warehousing: how to answer an aggregate query on base tables using materialized aggregate views (summary tables).

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Optimizing Aggregate Query Processing in Cloud Data

2017-7-8  Optimizing Aggregate Query Processing in Cloud Data Warehouses 5 If the foreign key table is sorted on the foreign key attribute value, then we do not require Tuple-index-map for that relationship. In that case, logical record-id of the PK-map will be the actual record-id of the foreign key table.

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aggregate quarry processing in data warehousing

Aggregate-Query Processing in Data Warehousing Environments. Gupta, A. and Harinarayan, V. and Quass, D. (1995) Aggregate-Query Processing in Data Warehousing Environments. In: 21th International Conference on Very Large Data Bases (VLDB .

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aggregate query processing - biowasser.nl

Aggregate-Query Processing in Data Warehousing Environments. 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- jections ...

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Optimizing Aggregate Query Processing in Cloud Data ...

2014-9-2  Existing aggregate query processing algorithms focus on optimizing various query operations but give less importance to communication cost overhead (Two-phase algorithm). However, in cloud architectures, the communication cost overhead is an important factor in query processing.

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An efficient processing of queries with joins and ...

It is very important to process efficiently expensive queries including joins and/or aggregate functions in a data warehousing environment since there resides an enormous volume of data and the ...

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Real-time data warehousing for business intelligence ...

2010-12-21  Gupta, A., Harinarayan, V., and Quass, D. 1995. Aggregate-query processing in data warehousing environments. In Proc. of Int. Conf. on Very Large Data Bases, 358--369. Google Scholar Digital Library; Wang, M. and Iyer, B. 1997. Efficient roll-up and drill-down analysis in relational databases. In SIGMOD Workshop on Research Issues on Data ...

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Optimizing Aggregate Query Processing in Cloud Data

2017-7-8  Optimizing Aggregate Query Processing in Cloud Data Warehouses 5 If the foreign key table is sorted on the foreign key attribute value, then we do not require Tuple-index-map for that relationship. In that case, logical record-id of the PK-map will be the actual record-id of the foreign key table.

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aggregate query processing - biowasser.nl

Aggregate-Query Processing in Data Warehousing Environments. 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- jections ...

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SQL for Aggregation in Data Warehouses

In fact, any computer process that aggregates data from details to higher levels will benefit from optimized aggregation performance. These extensions provide aggregation features and bring many benefits, including: Simplified programming requiring less SQL code for many tasks. Quicker and more efficient query processing.

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An efficient processing of queries with joins and ...

It is very important to process efficiently expensive queries including joins and/or aggregate functions in a data warehousing environment since there resides an enormous volume of data and the ...

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What are aggregate tables in data warehouse?

2020-1-15  Aggregates are used in dimensional models of the data warehouse to produce positive effects on the time it takes to query large sets of data. At the simplest form an aggregate is a simple summary table that can be derived by performing a Group by SQL query.

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(PDF) Aggregate View Management in Data Warehouses

An investigative query posed by a knowledge worker, against a data warehouse, to extract any previously unknown information and knowledge defines a view (Shukla et al., 1998(Shukla et al., , 2000.

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Improvement of query processing speed in Data

Improvement of query processing speed in Data warehousing with the usage of components-Bitmap Indexing, Iceberg and Uncertain data. Dr.Uma Pavan Kumar Kethavarapu. ... ICEBERG BASICSIce berg query is a special class of aggregation query, which computes aggregate values above a given threshold. Provide INTEGRATION OF BITMAP, ICEBERG AND ...

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Data Warehousing and Data Cube - courses.cs.duke.edu

2017-11-15  Advantages of Warehousing •High query performance •Queries not visible outside warehouse •Local processing at sources unaffected •Can operate when sources unavailable •Can query data not stored in a DBMS •Extra information at warehouse –Modify, summarize (store aggregates) –Add historical information

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Mastering Data Warehouse Aggregates: Solutions for Star ...

Christopher Adamson is a data warehousing consultant and founder of Oakton Software LLC. An expert in star schema design, he has managed and executed data warehouse implementations in a variety of industries. His customers have included Fortune 500 companies, large and small businesses, government agencies, and data warehousing tool vendors. Mr.

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OLAP query reformulation in peer-to-peer data

2012-7-1  The work we present in this paper is based on , where a PDMS-based data warehousing architecture is introduced, a basic language for the definition of inter-peer schema mappings is proposed, and a query reformulation framework for answering aggregate queries is outlined. Here we extend and improve our previous work under several substantial ...

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aggregate query processing - biowasser.nl

Aggregate-Query Processing in Data Warehousing Environments. 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- jections ...

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Processing Aggregate Queries with Materialized Views in ...

Home Browse by Title Periodicals IEICE - Transactions on Information and Systems Vol. E88-D, No. 4 Processing Aggregate Queries with Materialized Views in Data Warehouse Environment

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Data Warehouse Design Techniques - Aggregates

2017-7-5  To avoid slow responses due to system summing data up to higher levels we can pre-calculate these requests, storing the summarized data in a separate star. Aggregates can be considered to be conformed fact tables since they must provide the same query

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The Yin and Yang of Processing Data Warehousing

2020-10-9  (the slow mode) for high performance in processing data warehousing queries. The GPU query engine developed in this work is open source to the public. 1. INTRODUCTION In the past decade, special-purpose graphic computing units (GPUs) have evolved into general-purpose computing devices, with the advent of efficient parallel programming

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Parallel Processing of Multi-join Expansion aggregate

2005-4-14  2. Multi-Join Expansion_Aggregate Data Cube Query: A Background Data cube aggregate queries normally involved a number of groups based on designated attributes where aggregate functions are carried out in each of the groups. Star schemas based on relational databases are often applied to data warehousing. ROLAP (Relational OLAP)

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Data Warehousing and Database: Query Processing in DBMS

2018-7-13  Data Warehousing and Database Friday, July 13, 2018. ... Search algorithms that locate and retrieve records that fulfill a selection condition. his is the lowest level of query processing method. ... During run or merge passes, it can calculate the partial aggregate values in that block and can pass it to next merge pass.

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OLAP query reformulation in peer-to-peer data

2012-7-1  The work we present in this paper is based on , where a PDMS-based data warehousing architecture is introduced, a basic language for the definition of inter-peer schema mappings is proposed, and a query reformulation framework for answering aggregate queries is outlined. Here we extend and improve our previous work under several substantial ...

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Data Warehousing - System Processes

2021-8-15  In this chapter, we will discuss how to build data warehousing solutions on top open-system technologies like Unix and relational databases. Process Flow in Data Warehouse. There are four major processes that contribute to a data warehouse −. Extract and load the data. Cleaning and transforming the data. Backup and archive the data.

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A Case for Parallelism in Data Warehousing and OLAP ...

Data warehousing, On-Line Analytical Processing (OLAP) and other multidimensional analysis technologies have been employed by data analysts to extract interesting information from

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(PDF) Research Issues in Data Warehousing

The [16] explains the research issues in data warehousing by Buchmann. The [17] again by Rob Mattission describes web warehousing and knowledge management. The [18] describes how to build a ...

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