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2023 | OriginalPaper | Buchkapitel

Improve Quality of Data Management and Maintenance in Data Warehouse Systems

verfasst von : Sakshi Hooda, Suman Mann

Erschienen in: Proceedings of the 6th International Conference on Advance Computing and Intelligent Engineering

Verlag: Springer Nature Singapore

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Abstract

Data warehouses bring an organization’s data together in one place for reporting and analysis. Top-level management receives key performance metrics, middle-level management receives analytical strength and bottom-level management receives consistent and accurate data based on analytical system information. Despite the numerous domain-specific challenges, data warehouses must be financially viable to be successful. We conducted a comprehensive literature review and read case studies of organizations that have successfully implemented data warehousing solutions in order to compile a list of best practices that can serve as guidelines for new practitioners and organizations new to this technology.

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Vorheriges Kapitel Design of LCL Filter in Front–End Inverters for Grid Interfaced Electric Generation
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Metadaten
Titel
Improve Quality of Data Management and Maintenance in Data Warehouse Systems
verfasst von
Sakshi Hooda
Suman Mann
Copyright-Jahr
2023
Verlag
Springer Nature Singapore
Buch
Proceedings of the 6th International Conference on Advance Computing and Intelligent Engineering

Print ISBN: 978-981-19-2224-4

Electronic ISBN: 978-981-19-2225-1

Copyright-Jahr: 2023

DOI
https://doi.org/10.1007/978-981-19-2225-1_60

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