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

Abstract

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.

Corpus-Based Japanese Reading Teaching Database Cloud Service Model

“…e bottom layer uses the latest stable version of SQL server database as the engine [15]. SQL Azure has the challenge of how to balance the potential goal of optimizing resource allocation efficiency with a positive user experience and understand when cloud database customers use their database instances and when they are idle, so as to develop idle profiles for customer databases; literature [16] realized the optimal allocation of database resources by predicting the usage of Azure SQL user database resources across data centers. e second category is "SimpleDB" products.…”