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.
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.
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.
miércoles, 13 de marzo de 2019
Azure HDInsight offers several ways to monitor your Hadoop, Spark or Kafka clusters. They can be broken down into three main categories: cluster health and availability, resource utilization and performance, and job status and logs.
martes, 5 de febrero de 2019
n the current era, companies generate huge volumes of data every second. Whether it be for business intelligence, user analytics, or operational intelligence; ingestion, and analysis of streaming data requires moving this data from its sources to the multiple consumers that are interested in it.
jueves, 31 de enero de 2019
Migrating on-premises Apache Hadoop® and Spark workloads to the cloud remains a key priority for many organizations. In my last post, I shared “Tips and tricks for migrating on-premises Hadoop infrastructure to Azure HDInsight.”
miércoles, 23 de enero de 2019
Nos complace anunciar la disponibilidad general de Herramientas de Azure HDInsight para Visual Studio Code (VSCode). Herramientas de HDInsight para VSCode ofrece a los desarrolladores un editor de código ligero multiplataforma para el desarrollo de trabajos por lotes de HDInsight PySpark y Hive y consultas interactivas.
martes, 22 de enero de 2019
We are excited to share the release of the Microsoft Azure HDInsight Metastore Migration Tool (HMMT), an open-source script that can be used for applying bulk edits to the Hive metastore.
jueves, 17 de enero de 2019
We recently introduced support for HDInsight in Azure CLI as a public preview. With the addition of the new HDInsight command group, you can now utilize all of the features and benefits that come with the familiar cross-platform Azure CLI to manage your HDInsight clusters.
lunes, 10 de diciembre de 2018
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.