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Version 1.0 of the Azure Event Hubs package for Go is generally available.
Version 1.0 of the Python package for Azure Event Hubs is now generally available.
G-series VMs are available in Azure HDInsight.
HDInsight now supports Kafka 1.1.
A_V2 series VMs are available in Azure HDInsight.
Azure HDInsight is now available in South India.
The Microsoft Azure Consumption Insights content pack replaces the Microsoft Azure Enterprise content pack, which will be decommissioned by October 31, 2018.
Effective August 16, 2018, we’ll introduce improved standardized meter names for Virtual Machines. Meter name changes for all other services will be effective by the end of October 2018.
We’re announcing several new capabilities across a wide range of OSS frameworks and support of Azure Data Lake Storage Gen2 on Azure HDInsight.
We recently made several exciting announcements about Azure HDInsight, including a price reduction of up to 52 percent on all workloads on HDInsight, and added an additional 80 percent price reduction for Microsoft R Server add-on.
HDInsight now has two additional features available—HDI Interactive Query, and Azure Log Analytics.
We're pleased to announce Apache Kafka with Azure Managed Disks Preview on the HDInsight platform. Users will now be able to deploy Kafka clusters with managed disks straight from the Azure portal, with no signup necessary.
The Hadoop Connector for Azure Cosmos DB allows users to perform complex analytics jobs on data within the Apache Hadoop framework.
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.
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.
Azure Data Lake updates are available and provide basic improvements across the board.