Azure Data Factory is a cloud based data integration service. This helps you to define, schedule and manage data pipelines to transfer and transform the data from disparate on premise and cloud data sources. Read on to learn more.
In this article we will learn to use Data Factory to import table from SQL Server to Azure SQL Data Warehouse.
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.
Even the most elaborate team-based development methodology won't compensate for the blinkered attitudes and tribal cultures that come from over-specialization in IT.
Brent Ozar looks at the similarities between SQL Server on Linux and SQL Server on Windows Core from back in 2012, and asks whether DBAs should bother learning it.
By default, SQL Prompt shows code auto-completion suggestions automatically, and continuously. 90% of the time this is exactly what you want, but there are other times where you just need a bit of space - Phil Factor shows how.
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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What are the distance metric algorithms that can be used in VECTOR_DISTANCE()?
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