Spark

Understanding HDInsight Spark jobs and data through visualizations in the Jupyter Notebook

2019年4月29日

The Jupyter Notebook on HDInsight Spark clusters is useful when you need to quickly explore data sets, perform trend analysis, or try different machine learning models. Not being able to track the status of Spark jobs and intermediate data can make it difficult for data scientists to monitor and optimize what they are doing inside the Jupyter Notebook.

Senior Program Manager, Big Data Team

HDInsight Tools for Visual Studio Code の一般提供開始

2019年1月23日

Azure HDInsight Tools for Visual Studio Code (VSCode) の一般公開を発表いたします。開発者は、HDInsight Tools for VSCode を使用することで、HDInsight PySpark の開発や Hive バッチ ジョブおよび対話型クエリ向けの、複数プラットフォームに対応した軽量コード エディターを手にすることができます。

Principal Program Manager, Big Data Team

Azure HDInsight integration with Data Lake Storage Gen2 preview - ACL and security update

2018年12月10日

Today we are sharing an update to the Azure HDInsight integration with Azure Data Lake Storage Gen 2. This integration will enable HDInsight customers to drive analytics from the data stored in Azure Data Lake Storage Gen 2 using popular open source frameworks such as Apache Spark, Hive, MapReduce, Kafka, Storm, and HBase in a secure manner.

Principal Program Manager, Azure HDInsight

Azure Toolkit for IntelliJ – Spark Interactive Console

2018年11月15日

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.

Principal Program Manager, Big Data Team

Top 8 reasons to choose Azure HDInsight

2018年6月18日

Household names such as Adobe, Jet, ASOS, Schneider Electric, and Milliman are amongst thousands of enterprises that are powering their Big Data Analytics using Azure HDInsight.

Principal Program Manager, Azure HDInsight