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jeudi 15 novembre 2018
We are pleased to reveal the release of Spark Interactive Console in Azure Toolkit for IntelliJ. This new component intends to facilitate your Spark job authoring, and enable you to run code interactively in a shell-like environment within IntelliJ.
jeudi 27 septembre 2018
Debugging and diagnosing large, distributed big data sets is a hard and time-consuming process.
lundi 17 septembre 2018
We are happy to announce that HDInsight Tools for Visual Studio Code (VS Code) now leverage VS Code built-in user settings and workspace settings to manage HDInsight clusters and Spark job submissions.
jeudi 13 septembre 2018
Providing best in class getting started experiences has always been our top priority. We are happy to announce that HDInsight Tools for VSCode now integrates with Azure Account.
jeudi 6 septembre 2018
Microsoft runs one of the largest big data cluster in the world – internally called “Cosmos”. This runs millions of jobs across hundreds of thousands of servers over multiple Exabytes of data. Being able to run and manage jobs of this scale by developers was a huge challenge.
mercredi 6 juin 2018
We are pleased to announce the integration of VSCode explorer with Azure blob storage. If you are a data scientist and want to explore the data in your Azure blob storage, please try the Data Lake Explorer blob storage integration.
jeudi 26 avril 2018
We are happy to announce that HDInsight Tools for VSCode now supports argparse and accepts parameter based Pyspark Job submission. We also enabled the tools to support Spark 2.2 for PySpark author and job submission.
mardi 24 avril 2018
To provide more authentication options, Azure Toolkit for Eclipse now supports submission of jobs to HDInsight clusters through Ambari. You can easily link or unlink any cluster by using an Ambari-managed username and password, which is independent of your Azure sign-in credentials.
mardi 24 avril 2018
To provide more authentication options, Azure Toolkit for IntelliJ now supports submission of jobs to HDInsight clusters through Ambari. You can easily link or unlink any cluster by using an Ambari-managed username and password, which is independent of your Azure sign-in credentials.
lundi 5 mars 2018
We are happy to announce that job monitoring and job view have been added into the Azure Data Lake Tools for Visual Studio Code. Now, you can perform real-time monitoring for the jobs you submit.