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aggregate query processing in data warehousing

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-

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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

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Aggregate-Query Processing in Data Warehousing

Corpus ID: 5884328. Aggregate-Query Processing in Data Warehousing Environments @inproceedings{Gupta1995AggregateQueryPI, title={Aggregate-Query Processing in Data Warehousing Environments}, author={Ashish Gupta and Venky Harinarayan and D. Quass}, booktitle={VLDB}, year={1995} }

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Optimizing Aggregate Query Processing in Cloud Data Warehouses

Abstract. In this paper, we study and optimize the aggregate query processing in a highly distributed Cloud Data Warehouse, where each database stores a subset of relational data in a star-schema. Existing aggregate query processing algorithms focus on optimizing various query operations but give less importance to communication cost overhead

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Optimizing Aggregate Query Processing in Cloud

02-09-2014  In this paper, we study and optimize the aggregate query processing in a highly distributed Cloud Data Warehouse, where each database stores a subset of relational data in a star-schema. Existing aggregate query processing algorithms focus on optimizing various query operations but give less importance to communication cost overhead (Two-phase algorithm).

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Aggregate-Query Processing in Data Warehousing ...

This publication has not been reviewed yet. rating distribution. average user rating 0.0 out of 5.0 based on 0 reviews

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Aggregate-Query Processing in Data

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 in Data

Corpus ID: 5884328. Aggregate-Query Processing in Data Warehousing Environments @inproceedings{Gupta1995AggregateQueryPI, title={Aggregate-Query Processing in Data Warehousing Environments}, author={Ashish Gupta and Venky Harinarayan and D. Quass}, booktitle={VLDB}, year={1995} }

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CiteSeerX — Aggregate-Query Processing in

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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Aggregate-query processing in data

Aggregate-query processing in data warehousing environments A. Gupta , V. Harinarayan , and D. Quass . Proceedings of the 21st international conference on Very Large Data Bases (VLDB'95) ,

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Optimizing Aggregate Query Processing in Cloud Data Warehouses

Optimizing Aggregate Query Processing in Cloud Data Warehouses 3 2 Related Work Aggregate query processing has been studied in many research works [5]. But, as per our knowledge, not many of them consider communication cost in optimizing aggregate query processing. We analyzed some of the works which optimize the aggregate query operations.

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Aggregate (data warehouse) - Wikipedia

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. A more common use of aggregates is to take a dimension and change the granularity of this dimension.

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aggregation in data warehousing - umst.cz

Aggregate data is typically found in a data warehouse, as it can provide answers to analytical questions and also dramatically reduce the time to query large sets of data. Data aggregation is often used to provide statistical analysis for groups of people and to create useful summary data for business analysis .

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Aggregate-Query Processing in Data

09-03-2021  This publication has not been reviewed yet. rating distribution. average user rating 0.0 out of 5.0 based on 0 reviews

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aggregate query processing in data warehousing

Aggregate Query Processing In Data Warehousing Gbz type heavy duty apron feeder is based on a sophisticated technology and widely used in building material, chemical plant, metallurgy, coal industries. nhi china are nonpareil suppliers of gbz type heavy duty apron feeder in china. our gbz type heavy duty apron feeder can work with materials having different size, density and hardness.

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Data Warehouse Design Techniques - Aggregates

Data Warehouse Design Techniques – Aggregates Jim McHugh July 5, 2017 Blog 2 Comments In this week’s blog, we will discuss how to optimize the performance of your data warehouse

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Aggregate-Query Processing in Data

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 in data

Aggregate-query processing in data warehousing environments A. Gupta , V. Harinarayan , and D. Quass . Proceedings of the 21st international conference on Very Large Data Bases (VLDB'95) ,

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Aggregate-based query processing in a parallel

Aggregate-based query processing in a parallel data warehouse server Abstract: In the last years data warehousing has emerged as a fundamental database technology providing the basis for online analytical processing (OLAP). In general, analytical queries involve aggregations of large data sets.

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Aggregate-Query Processing in Data

This publication has not been reviewed yet. rating distribution. average user rating 0.0 out of 5.0 based on 0 reviews

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Aggregate (data warehouse) - Wikipedia

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. A more common use of aggregates is to take a dimension and change the granularity of this dimension.

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Processing Aggregate Queries with Materialized

Request PDF Processing Aggregate Queries with Materialized Views in Data Warehouse Environment Materialized views, which are derived from base

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Data Warehousing and Database: Query

Data Warehousing and Database Friday, July 13, 2018. Query Processing in DBMS ... All these processes are together known as query processing. ... Aggregation operation uses sorting or hashing techniques to get similar groups of records together and g roup using SUM, ...

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Data Warehouse Design Techniques - Aggregates

Data Warehouse Design Techniques – Aggregates Jim McHugh July 5, 2017 Blog 2 Comments In this week’s blog, we will discuss how to optimize the performance of your data warehouse

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Mastering Data Warehouse Aggregates:

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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Spatial aggregation: Data model and

Data aggregation in Geographic Information Systems (GIS) is a desirable feature, only marginally present in commercial systems nowadays, mostly through ad hoc solutions. We address this problem introducing a formal model that integrates, in a natural way, geographic data and non-spatial information contained in a data warehouse external to the GIS.

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Aggregate-Query Processing in Data

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

More

Aggregate-based query processing in a parallel

Aggregate-based query processing in a parallel data warehouse server Abstract: In the last years data warehousing has emerged as a fundamental database technology providing the basis for online analytical processing (OLAP). In general, analytical queries involve aggregations of large data sets.

More

Aggregate-Query Processing in Data

This publication has not been reviewed yet. rating distribution. average user rating 0.0 out of 5.0 based on 0 reviews

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Query Processing in Data Warehouses

Data warehouses usually store a tremendous amount of data, which is advantageous and yet challenging at the same time, since the particular querying/updating/modeling characteristics make query processing rather difficult due to the high number of degrees of freedom.

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Aggregate (data warehouse) - WikiMili, The Free

Aggregate (data warehouse) Last updated December 21, 2019 The basic architecture of a data warehouse. 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. A more common use of

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Aggregate-query processing in data

Aggregate-query processing in data warehousing environments A. Gupta , V. Harinarayan , und D. Quass . Proceedings of the 21st international conference on Very Large Data Bases (VLDB'95) ,

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Efficient Processin of Queries with Joints and

Efficient Processin of Queries with Joints and Aggregate Functions in ROLAP Data Warehousing Environment Efficient processing of expensive queries that include joins and/or aggregate functions is crucial in data warehousing environment since there reside enormous volume of data. In this paper, we propose a new method for processing of queries that have both of joins and aggregate functions.

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What is Data Aggregation?

Aggregate data is typically found in a data warehouse, as it can provide answers to analytical questions and also dramatically reduce the time to query large sets of data. Data aggregation is often used to provide statistical analysis for groups of people and to create useful summary data for business analysis .

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How to represent aggregates in a data

I am building the dimensional model for a data warehouse (as an exercise for a mini-course I am doing) and I want to build an aggregate to speed up queries. Basically, I want the aggregate to group by: (PizzaType), (Size), (Month), (Year) I would have num_pizza_types * num_sizes * num_months * num_years aggregate rows.

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Data warehouse - Wikipedia

Data warehouse options Aggregation. In the data warehouse process, data can be aggregated in data marts at different levels of abstraction. The user may start looking at the total sale units of a product in an entire region. Then the user looks at the states in that region. Finally, they may examine the individual stores in a certain state.

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