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HDInsight now supports Kafka 1.1.
We’re announcing several new capabilities across a wide range of OSS frameworks and support of Azure Data Lake Storage Gen2 on Azure HDInsight.
HDInsight now has two additional features available—HDI Interactive Query, and Azure Log Analytics.
With the Azure mobile app, you can check status and critical metrics of your Azure resources, get notifications and alerts, and perform simple operations to resolve common issues.
Operating a cloud service like HDInsight, fully managed and backed by enterprise-grade SLA, will enable customers to deploy the latest bits of Hadoop and Spark on demand. To that end, we're excited to announce that the latest Hortonworks Data Platform 2.6 will be continuously available to HDInsight even before its on-premises release.
Azure HDInsight will soon include specific tasks—such as doing Web Log Analytics on Azure Website—in the query console.
Azure HDInsight 3.6 with Apache Spark 2.1 is in public preview.
The new Azure Marketplace experience will help you discover and deploy products, deep dive for more info, and get hands-on experience.
R Server on HDInsight is generally available. It enables scalable machine learning in the R language and several new features, such as integration with Spark 2.0 and Spark data sources.
Spark on Azure HDInsight is generally available. It brings an industry-leading availability SLA of 99.9 percent, scalable storage, and productivity tools for interactive big-data exploration and development.
We're excited to announce the general availability of the HDInsight Tools plug-in for IntelliJ, which helps users develop Java Spark applications on Azure HDInsight.
A new instance size, D5 v2, extends the Dv2-Series for Azure HDInsight. It has 16 cores and 56 GB of memory.
HDInsight enables Script Action–based customizations to live, running clusters.
Azure HDInsight can run 100 percent open-source R to do machine learning and has new updates on the latest Hadoop and Spark components from Hortonworks.
HDinsight Tools for IntelliJ (Preview) makes HDInsight Spark development easier. Check out this service update to learn more!
Azure HDInsight is now available on Dv2-Series instances, which offer CPUs that run up to 35 percent faster than the current D-Series.
Azure HDInsight now supports the latest projects from Apache Hadoop.
You can now select Linux clusters when deploying Apache Hadoop workloads in Azure HDInsight and more easily move existing Hadoop workloads into the cloud with an expanded set of open source, big data components running managed Hadoop in Azure.
Apache Spark for Azure HDInsight provides a fast and easy way to run interactive data analysis on large data sets.
Seamlessly add or remove nodes to your HBase cluster while it is running by using the Cluster Scaling feature.