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aggregate query processing in data warehousing

Aggregate query processing in data warehousing ...

OLAP systems support data analysis through a multidimensional data model, according to which data facts are viewed as points in a space of application-related quot;dimensionsquot;, organized into levels which conform a hierarchy. The usual assumption is that the data points reflect the dynamic aspect of the data warehouse, while dimensions are relatively static. However, in practice ...

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aggregate query processing in data warehousing

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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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CiteSeerX — Aggregate-Query Processing in Data

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 Warehouses

Optimizing Aggregate Query Processing in Cloud Data Warehouses Swathi Kurunji*, Tingjian Ge*, Xinwen Fu*, Benyuan Liu*, Amrith Kumary, and Cindy X. Chen* University of Massachusetts Lowell, MA, USA *{skurunji,ge,xinwenfu,bliu,cchen}@cs.uml.edu y [email protected] Abstract. In this paper, we study and optimize the aggregate query processing in a highly distributed Cloud Data Warehouse ...

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Aggregate-Query Processing in Data Warehousing ...

Users typically view the data as multidimensional data cubes. Each cell of the data cube is a view consisting of an aggregation of interest, like total sales. The values of many of these cells are dependent on the values of other cells in the data cube..A common and powerful query optimization technique is to materialize some or all of these cells rather than compute them from raw data each ...

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CiteSeerX — Aggregate-query processing in data

We develop powerful query rewrite rules for aggregate queries that unify and ex-tend rewrite rules previously known in the lit-erature. We then illustrate the power of our approach by solving a very practical and im-portant problem in data warehousing: how to answer an aggregate query on base tables using materialized aggregate views (summary tables). 1

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Optimizing Aggregate Query Processing in Cloud Data

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). However, in cloud

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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. Share on. Authors: Ashish Gupta. View Profile , ...

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Aggregate-Query Processing in Data Warehousing ...

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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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Optimizing Aggregate Query Processing in Cloud Data Warehouses

Optimizing Aggregate Query Processing in Cloud Data Warehouses Swathi Kurunji*, Tingjian Ge*, Xinwen Fu*, Benyuan Liu*, Amrith Kumary, and Cindy X. Chen* University of Massachusetts Lowell, MA, USA *{skurunji,ge,xinwenfu,bliu,cchen}@cs.uml.edu y [email protected] Abstract. In this paper, we study and optimize the aggregate query processing in a highly distributed Cloud Data Warehouse ...

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Aggregate-Query Processing in Data Warehousing ...

A data warehouse (DW) can therefore be seen as a set of materialized views defined over the sources. When a query is posed, it is evaluated locally, using the materialized views, without accessing the original information sources. The applications using DWs require high query performance. This requirement is in conflict with the need to maintain in the DW updated information. The DW ...

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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. Share on. Authors: Ashish Gupta. View Profile , ...

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Aggregate-query processing in data warehousing ...

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) , page 358--369.Morgan Kaufmann, (September 1995

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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. When changing the granularity of the ...

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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. article . Processing Aggregate Queries with Materialized Views in Data Warehouse

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Mastering Data Warehouse Aggregates: Solutions for

Discusses how to include aggregates in data warehouse development projects that focus on incremental development, iterative builds, and early data loads ; About the Author 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 ...

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OLAP query reformulation in peer-to-peer data

01/07/2012  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 aspects. A complete formalization of the

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The cube data model: a conceptual model and algebra for

01/12/1999  The emphasis in data warehousing is on query processing and response times rather than transaction processing. Queries tend to be complex and ad hoc, often requiring computationally expensive operations such as joins and aggregation. Further complicating this situation is the fact that such queries must be performed on tables having potentially millions of records. Moreover, the

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Aggregate-based query processing in a parallel data ...

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. This results in serious performance problems if ad-hoc queries are to be answered online. One

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Aggregate-query processing in data warehousing ...

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) , page 358--369.Morgan Kaufmann, (September 1995

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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. When changing the granularity of the ...

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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. article . Processing Aggregate Queries with Materialized Views in Data Warehouse

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SQL for Aggregation in Data Warehouses

Quicker and more efficient query processing. Reduced client processing loads and network traffic because aggregation work is shifted to servers. Opportunities for caching aggregations because similar queries can leverage existing work. An Aggregate Scenario. To illustrate the use of the GROUP BY extension, this chapter uses the sh data of the sample schema. All the examples refer to data from ...

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An overview of data warehousing and OLAP technology

01/03/1997  26 Gupta A., Harinarayan V., Quass D. "Aggregate-Query Processing in Data Warehouse Environments", Proc. of VLDB, 1995. Google Scholar Digital Library; 27 Chaudhuri S., Shim K. "An Overview of Cost-based Optimization of Queries with Aggregates" IEEE Data Enginering Bulletin, Sep. 1995. Google Scholar ; 28 Dewitt D. J., Gray J. "Parallel Database Systems: The Future of High

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Data Warehouse Examples: Applications In The Real World

23/08/2018  A data warehouse is built to store large quantities of historical data and enable fast, complex queries across all the data, typically using Online Analytical Processing (OLAP). A database was built to store current transactions and enable fast access to specific transactions for ongoing business processes, known as Online Transaction Processing (OLTP).

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OLAP and Data Warehousing - pitt.edu

traditional On-line Transaction Processing (OLTP): mostly long queries, instead of short update Xacts. 1 2. 2 Three Complementary Trends Data Warehousing: Consolidate data from many sources in one large repository. Loading, periodic synchronization of replicas. Semantic integration. OLAP: Complex SQL queries and views. Queries based on spreadsheet-style operations and “multidimensional ...

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OLAP query reformulation in peer-to-peer data

01/07/2012  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 aspects. A complete formalization of the

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The cube data model: a conceptual model and algebra for

01/12/1999  The emphasis in data warehousing is on query processing and response times rather than transaction processing. Queries tend to be complex and ad hoc, often requiring computationally expensive operations such as joins and aggregation. Further complicating this situation is the fact that such queries must be performed on tables having potentially millions of records. Moreover, the

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