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Data in Motion and Data at Rest

Microsoft (StreamInsight), and Azure Stream Analytics represent a very different model for processing data. They are concerned with processing complex event streams of data (CEPs) from such things as sensors to deduce significant patterns and apply filters. Joe Celko discusses the background to an intriguing technology of complex event processing to establish the difference between data at rest, and data on the move.

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Implementing SQL Server Failover Clustering in Azure

Deploying IaaS solutions in Microsoft Azure offers benefits that leverage agility, resiliency, and scalability built into the underlying platform. However, when dealing with business-critical workloads, customers typically want to also provide high-availability and disaster recovery capabilities in a manner that they can control. Trying to implement this approach in the cloud by following the procedures applicable in on-premises datacenters frequently presents challenges. This article focuses on these differences in the context of deployment of SQL Server Failover Clustering in Azure.

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Question of the Day

Distance Metric Algorithms

What are the distance metric algorithms that can be used in VECTOR_DISTANCE()?

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