Understanding ETL and Data Warehousing: Issues, Challenges and Importance: Role of ETL routines in Quality Data Warehouse Solutions - Softcover

Singh, Jaiteg

 
9783843390934: Understanding ETL and Data Warehousing: Issues, Challenges and Importance: Role of ETL routines in Quality Data Warehouse Solutions
Softcover
ISBN 10: 3843390932 ISBN 13: 9783843390934
Verlag: LAP LAMBERT Academic Publishing, 2011

Inhaltsangabe

Testing in data warehouse systems is substantial because it is oriented towards the correctness and validation of data/ information supplied for decision making. Keeping in view the idiosyncratic characteristics of data warehouse testing and the complexity of data warehouse projects, this research has reviewed and revised the scope of automated testing in assuring quality data warehouse solutions. Initially a data set generator has been developed to generate synthetic but near to real data; followed by the classification of anomalies in synthesized data with the help of a hand coded Extraction, Transformation and Loading (ETL) routine. To ensure quality data for a data warehouse and to promulgate the importance of Extraction, Transformation and Loading (ETL) routines some test cases of prime importance were identified. Later on automated testing procedures were embedded in hand coded ETL routine to ensure quality data. The statistical analysis revealed major enhancement in data quality with the introduction of automated testing procedures. The various data warehouse architectures have been analyzed to endorse a refined data warehouse architecture named as Data Sharehouse.

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Reseña del editor

Testing in data warehouse systems is substantial because it is oriented towards the correctness and validation of data/ information supplied for decision making. Keeping in view the idiosyncratic characteristics of data warehouse testing and the complexity of data warehouse projects, this research has reviewed and revised the scope of automated testing in assuring quality data warehouse solutions. Initially a data set generator has been developed to generate synthetic but near to real data; followed by the classification of anomalies in synthesized data with the help of a hand coded Extraction, Transformation and Loading (ETL) routine. To ensure quality data for a data warehouse and to promulgate the importance of Extraction, Transformation and Loading (ETL) routines some test cases of prime importance were identified. Later on automated testing procedures were embedded in hand coded ETL routine to ensure quality data. The statistical analysis revealed major enhancement in data quality with the introduction of automated testing procedures. The various data warehouse architectures have been analyzed to endorse a refined data warehouse architecture named as Data Sharehouse.

Biografía del autor

Name: Jaiteg Singh (MCA, M.Phil (Comp.Sci.), Ph.D (Comp.Sci. & Engg) Area of Interest: Software Engineering, Data Warehousing

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2011
Sprache
Englisch
ISBN 10 
3843390932
ISBN 13 
9783843390934
Einband
Tapa blanda
Anzahl der Seiten
204
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Verantwortliche Person
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