Improving schema issue advisor in the Azure SQL database

Dundjerski, Dejan; Lazić, Stefan; Tomašević, Milo; Bojic, Dragan

doi:10.1109/telfor.2017.8249450

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“…An end-result should be an improved schema issue advisor based upon the customer feedback. This is an extended version of the paper [5] with further evaluation data and some additional discussion and explanations. Section 2 briefly describes the Azure SQL database platform.…”

Section: Introductionmentioning

confidence: 99%

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An extended evaluation of schema issues advisor in the azure SQL database

Dunđerski¹,

Lazić²,

Tomašević³

et al. 2018

Telfor J

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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.

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Section: Introductionmentioning

confidence: 99%

“…Section 3 elaborates the statement of the problem observed in the Azure SQL database service. Motivation and validation of the proposed solution is described in This paper is a revised and expanded version of the paper presented at the 25th Telecommunications Forum TELFOR 2017 [5].…”

Section: Introductionmentioning

confidence: 99%