2019年4月2日
Azure Stream Analytics is a fully managed PaaS service that helps you run real-time analytics and complex event processing logic on telemetry from devices and applications. Numerous built-in functions available in Stream Analytics helps users build real-time applications using simple SQL language with utmost ease.
2019年4月2日
As a high-availability service, Azure HDInsight ensures that you can spend time focused on your workloads, not worrying about the availability of your cluster.
2019年4月1日
Event Hubs is fully managed, real-time ingestion Azure service. It integrates seamlessly with other Azure services. It also allows Apache Kafka clients and applications to talk to Event Hubs without any code changes.
2019年3月26日
The blob storage interface on the Data Box has been in preview since September 2018 and we are happy to announce that it's now generally available. This is in addition to the server message block (SMB) and network file system (NFS) interface already generally available on the Data Box.
2019年3月25日
Clean up files by built-in delete activity in Azure Data Factory
2019年3月25日
Azure Data Factory (ADF) is the fully-managed data integration service for analytics workloads in Azure.
2019年3月21日
Learn the latest integration in Azure Data Factory with Azure Data Lake Storage Gen2 and Azure Data Explorer which enables you to meet the advanced needs of your analytics workloads by leveraging these services.
2019年3月14日
Azure SQL Data Warehouse is a fast, flexible and secure analytics platform for enterprises of all sizes. Today we are announcing the preview availability of workload importance on the Gen2 platform to help customers manage resources more efficiently.
2019年3月13日
Azure HDInsight offers several ways to monitor your Hadoop, Spark or Kafka clusters. They can be broken down into three main categories: cluster health and availability, resource utilization and performance, and job status and logs.
2019年3月5日
Data Integration is complex with many moving parts. It helps organizations to combine data and complex business processes in hybrid data environments. Failures are very common in data integration workflows.