2019. december 17., kedd
Processing Big data in real-time is an operational necessity for many businesses. Azure Stream Analytics is Microsoft’s serverless real-time analytics offering for complex event processing.
2019. november 4., hétfő
Today, businesses are forced to maintain two types of analytical systems, data warehouses and data lakes. Data warehouses provide critical insights on business health.
2019. október 29., kedd
Azure Stream Analytics is a fully managed Platform as a Service (PaaS) that supports thousands of mission-critical customer applications powered by real-time insights.
2019. október 3., csütörtök
A data-driven culture is critical for businesses to thrive in today’s environment. In fact, a brand-new Harvard Business Review Analytic Services survey found that companies who embrace a data-driven culture experience a 4x improvement in revenue performance and better customer satisfaction.
2019. október 2., szerda
Today Microsoft published an independent security assessment of 113 Microsoft Azure services for their suitability to handle official and PROTECTED Australian government information.
2019. szeptember 30., hétfő
The tech world is fast-paced, and cloud services like Azure Cosmos DB get frequent updates with new features, capabilities, and improvements.
2019. szeptember 17., kedd
We are pleased to share that support for HDInsight in Azure CLI is now generally available. The addition of the `az hdinsight` command group allows you to easily manage your HDInsight clusters using simple commands while taking advantage of all that Azure CLI has to offer, such as cross-platform support and tab completion.
2019. szeptember 10., kedd
Learn how to monitor the workloads running on your Azure HDInsight cluster and view relevant logs to assist with debugging.
2019. szeptember 9., hétfő
Today we’re previewing the Azure HPC Cache service, a new Azure offering that empowers organizations to more easily run large, complex high-performance computing (HPC) workloads in Azure.
2019. július 18., csütörtök
MileIQ automates mileage logging to create accurate records of miles driven, minimizing the effort and time needed with manual calculations. Real-time mileage tracking produces over a million location signal events per hour, requiring fast and resilient event processing that scales.