Thursday, October 3, 2019
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.
Wednesday, October 2, 2019
Today Microsoft published an independent security assessment of 113 Microsoft Azure services for their suitability to handle official and PROTECTED Australian government information.
Monday, September 30, 2019
The tech world is fast-paced, and cloud services like Azure Cosmos DB get frequent updates with new features, capabilities, and improvements.
Tuesday, September 17, 2019
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.
Tuesday, September 10, 2019
Learn how to monitor the workloads running on your Azure HDInsight cluster and view relevant logs to assist with debugging.
Monday, September 9, 2019
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.
Thursday, July 18, 2019
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.
Thursday, July 18, 2019
Cloud data lakes solve a foundational problem for big data analytics—providing secure, scalable storage for data that traditionally lives in separate data silos. Data lakes were designed from the start to break down data barriers and jump start big data analytics efforts.
Tuesday, July 16, 2019
Azure Stream Analytics is a fully managed PaaS offering that enables real-time analytics and complex event processing on fast moving data streams. Thanks to zero-code integration with over 15 Azure services, developers and data engineers can easily build complex pipelines for hot-path analytics within a few minutes.
Wednesday, June 26, 2019
Most modern-day businesses employ analytics pipelines for real-time and batch processing. A common characteristic of these pipelines is that data arrives at irregular intervals from diverse sources. This adds complexity in terms of having to orchestrate the pipeline such that data gets processed in a timely fashion.