Azure Stream Analytics is Microsoft’s serverless real-time analytics offering for complex event processing. It enables customers to unlock valuable insights and gain a competitive advantage by harnessing the power of big data.
In a world where self-service and speed of delivery are key priorities in any reporting BI solution, the importance of creating a comprehensive and performant data semantic model layer is sometimes overlooked.
Microsoft Azure Government regions give unparalleled flexibility for US government agencies and their partners. Today, we announce the general availability of industry-leading performance Azure SQL Data Warehouse Compute Optimized Gen2 tier for government customers in the US Gov Arizona and US Gov Texas regions.
One of the biggest security and compliance requirement for enterprise customers is to encrypt their data at rest using their own encryption key. This is even more critical in a post-GDPR world.
SQL Data Warehouse is happy to announce that Striim now fully supports SQL Data Warehouse as a target for Striim for Azure. Striim enables continuous non-intrusive performant ingestion of all your enterprise data from a variety of sources in real time.
Office 365 holds a wealth of information about how people work and how they interact and collaborate with each other, and this valuable asset enables intelligent applications to derive value and to optimize organizational productivity.
HDInsight team is excited to reveal general availability (GA) of Enterprise Security Package (ESP) for Apache Spark, Apache Hadoop and Interactive Query clusters in HDI 3.6.
Today, we are excited to announce the preview of the new Azure HDInsight Management SDK. This preview SDK brings support for new languages and can be used to easily manage your HDInsight clusters.
We are thrilled to announce that HDInsight 4.0 is now available in public preview. HDInsight 4.0 brings latest Apache Hadoop 3.
Microsoft and Starburst are excited to announce that Starburst Presto has been added to the Azure HDInsight Application Platform.
For our own troubleshooting needs, the Azure Data Explorer team wanted to run ad-hoc queries on the massive telemetry data stream produced by our service. Finding no suitable solution, we decided to create one.
Hadoop 3.0 is a major upgrade to the Hadoop stack enabling developers to build deep learning systems and business applications on top of very large datasets using the most modern compute infrastructure available in the cloud.
