An extended evaluation of schema issues advisor in the azure SQL database
| Autor: | Dejan Dunđerski, Dragan Bojic, Milo Tomasevic, Stefan Lazic |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Radiation
Schema issue advisor Computer Networks and Communications Computer science Sql database Programming language 02 engineering and technology computer.software_genre Azure SQL database platform lcsh:Telecommunication Feature validation and testing lcsh:TK5101-6720 020204 information systems Schema (psychology) Cloud services Signal Processing 0202 electrical engineering electronic engineering information engineering Media Technology 020201 artificial intelligence & image processing computer Software |
| Zdroj: | Telfor Journal, Vol 10, Iss 2, Pp 91-96 (2018) |
| ISSN: | 2334-9905 1821-3251 |
| DOI: | 10.5937/telfor1802091d |
| Popis: | The analysis of the telemetry data in Azure SQL database has revealed that most of the problems affecting the customers are due to the schema inconsistency errors. An assumption has been made that direct e-mail notifications sent to the customers about the current problems could significantly shorten time to resolve them. The prospective benefits are first validated by sending e-mail recommendations manually. Then, in an iterative way, the schema issue advisor that detects anomalies and automatically sends the appropriate notifications to the customers is implemented on top of Azure resources. Finally, an extended evaluation has confirmed the expected benefits of direct communications with the customers. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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