Query Optimizer for the ETL Process in Data Warehouses

Authors

  • Bhadresh Pandya  Professor, Department of Computer Science, Kadi Sarva Vishwavidyalaya, Gandhinagar , Gujarat, India
  • S M Shah  Director, S. V Institute of Computer Studies, Kadi, Gujarat, India

Keywords:

Extraction Transformation Loading, Data Warehouses, Query Optimizer, Business Intelligence, Execution Plan of Query, Database Tuning, Query Tuning, Performance Tuning

Abstract

ETL (Extraction-Transformation-Loading) process is responsible for extracting data from several sources, cleansing, transforming, integrating and loading into a data warehouse. Extraction process accesses large amount of data by executing several complex queries in source databases. These queries are repetitive and executed at regular interval to refresh the data warehouse. Extraction of data from source must be completed in a certain time window; hence it is necessary to optimize its execution time. In this paper, we delve into the optimization of queries by recommending indices which reduces cost of the queries and improves performance of the queries.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2015-06-25

Issue

Volume 1, Issue 3, May-June-2015

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Bhadresh Pandya, S M Shah "Query Optimizer for the ETL Process in Data Warehouses" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 3, pp.329-333, May-June-2015.