Azure の更新情報

Azure 製品の重要な更新情報、ロードマップ、お知らせをご確認ください。最新情報を入手するために通知を受け取ることができます。

製品

    7月 2015

    07/10

    Public preview: Apache Spark for Azure HDInsight

    Apache Spark for Azure HDInsight provides a fast and easy way to run interactive data analysis on large data sets.

    • HDInsight
    • Features
    • Services
    07/09

    General availability: Azure Batch

    Azure Batch makes it easy to run large-scale parallel and high-performance computing workloads in Azure.

    • Batch

    5月 2015

    05/27

    Hyperlapse for Azure Media Services available

    We’ve released Hyperlapse for Azure Media Services, which integrates Hyperlapse technology with a media processor in the cloud.

    • Media Services
    • Features
    05/11

    Azure Batch Service adds job preparation and release task support

    Azure Batch Service added Job Preparation and Release Task Support

    • Batch
    • SDK and Tools

    4月 2015

    04/11

    Updated API Help page available for Azure Machine Learning

    Learn about the improvements in the April 8 release of Azure Machine Learning.

    • Machine Learning Studio
    • Features

    3月 2015

    03/26

    Azure Batch for PowerShell update

    Azure PowerShell includes new capabilities to manage Azure Batch services.

    • Batch
    • Features
    • Management
    03/09

    Azure Batch client library for .NET updated to 1.2.0

    The Batch client library for .NET is updated to 1.2.0 to use Azure Storage Client Library 4.0.0.

    • Batch
    • SDK and Tools

    2月 2015

    02/04

    Azure Batch client library for .NET updated

    The Batch client library for .NET is updated to fix some major customer issues.

    • Batch
    • SDK and Tools
    02/04

    Batch Explorer code sample update

    The Azure Batch Explorer sample is updated with a new work item view and improved performance.

    • Batch
    • SDK and Tools

    10月 2014

    10/28

    Public Preview: Azure Batch

    Azure Batch is a new platform service that enables you to run large-scale parallel and HPC applications in the cloud.

    • Batch

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