Continuous Cloud Scale Query Optimization and Processing

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Provided by: VLD Digital
Topic: Cloud
Format: PDF
Massive data analysis in cloud-scale data centers plays a crucial role in making critical business decisions. High-level scripting languages free developers from understanding various system trade-offs, but introduce new challenges for query optimization. One key optimization challenge is missing accurate data statistics, typically due to massive data volumes and their distributed nature, complex computation logic, and frequent usage of user-defined functions. In this paper the authors propose novel techniques to adapt query processing in the Scope system, the cloud-scale computation environment in Microsoft online services.
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