martes, 17 de septiembre de 2019
We are pleased to share that support for HDInsight in Azure CLI is now generally available. The addition of the `az hdinsight` command group allows you to easily manage your HDInsight clusters using simple commands while taking advantage of all that Azure CLI has to offer, such as cross-platform support and tab completion.
martes, 10 de septiembre de 2019
Learn how to monitor the workloads running on your Azure HDInsight cluster and view relevant logs to assist with debugging.
jueves, 13 de junio de 2019
Learn how to monitor performance and resource utilization on Azure HDInsight by keeping tabs on metrics, such as CPU, memory, and network usage, to better understand how your cluster is handling your workloads and whether you have enough resources to complete the task at hand.
jueves, 30 de mayo de 2019
Apache Kafka is one of the most popular open source streaming platforms today. However, deploying and running Kafka remains a challenge for most.
martes, 21 de mayo de 2019
We are excited to announce the General Availability of the autoscale feature for Azure HDInsight. This feature enables enterprises to become more productive and cost-efficient by automatically scaling clusters up or down based on the load or a customized schedule.
Principal Program Manager, Azure HDInsight
miércoles, 1 de mayo de 2019
Migrating big data workloads to the cloud remains a key priority for our customers and Azure HDInsight is committed to making that journey simple and cost effective. HDInsight partners with Unravel whose mission is to reduce the complexity of delivering reliable application performance when migrating data from on-premises or a different cloud platform onto HDInsight.
lunes, 29 de abril de 2019
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
jueves, 18 de abril de 2019
We are pleased to announce the general availability of the new Azure HDInsight management SDKs for .NET, Python, and Java.
lunes, 15 de abril de 2019
Today we’re announcing the general availability of Apache Hadoop 3.0 on Azure HDInsight. In partnership with Cloudera, Microsoft Azure is the first cloud provider to offer customers the benefit of the latest innovations in the most popular open source analytics projects, with unmatched scalability, flexibility, and security.
martes, 2 de abril de 2019
As a high-availability service, Azure HDInsight ensures that you can spend time focused on your workloads, not worrying about the availability of your cluster.