Nos complace anunciar nuestro último modelo de hospedaje de Functions, el plan Azure Functions Premium, en versión preliminar. Este plan habilita una serie de opciones de escalado y conectividad que nos han solicitado durante mucho tiempo, sin comprometer el escalado basado en eventos.
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.
Debugging and diagnosing large, distributed big data sets is a hard and time-consuming process.
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.
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.
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.
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.
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.
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.
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.
