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Understanding ETL And Data Warehousing

£49.99

Product description

"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." Good condition, with some wear on the edges of the cover and slight markings on the back.

Item details

Author(s):
Jaiteg Singh
Condition:
Used: good
Edition:
2011
Format:
Paperback
ISBN-10:
3843390932
ISBN-13:
9783843390934
Number of pages:
183
Publisher:
Lap Lambert Academic Publishin
Title:
Understanding ETL and Data Warehousing: Issues, Challenges and Importance

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About this item

"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." Good condition, with some wear on the edges of the cover and slight markings on the back.

Author(s):
Jaiteg Singh
Condition:
Used: good
Edition:
2011
Format:
Paperback
ISBN-10:
3843390932
ISBN-13:
9783843390934
Number of pages:
183
Publisher:
Lap Lambert Academic Publishin
Title:
Understanding ETL and Data Warehousing: Issues, Challenges and Importance

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