Use the most popular open-source frameworks such as Hadoop, Spark, Hive, LLAP, Kafka, Storm, HBase, Microsoft ML Server & more. HDInsight uses the HDP platform as it is, but the only difference is that the storage layer used is the Azure Data Lake or other Azure storage systems like Blob. Through this blog post, BigDL team and Azure HDInsight team will give a high-level view on how to use BigDL with Apache Spark for Azure HDInsight. Easily run popular open source frameworks—including Apache Hadoop, Spark, and Kafka—using Azure HDInsight, a cost-effective, enterprise-grade service for open source analytics. Azure Monitor logs enable data generated by multiple resources, such as HDInsight clusters, to be collected and aggregated in one place to achieve a unified monitoring experience.. As a prerequisite, you'll need a Log Analytics Workspace to store the collected data. You can find a more detailed step to use BigDL to analyze MNIST dataset in the engineering blog post. Effortlessly process massive amounts of data and get all the benefits of the broad open source ecosystem with the global scale of Azure. The Azure HDInsight is based on the Hortonworks Data Platform (HDP). After that, I searched how to use it in an economical manner and found people normally delete their clusters to save cost. Getting BigDL to work on Apache Spark for Azure HDInsight. Unfortunately, you cannot use Application Insight to get logs of HDInsight cluster. Learn how to use Hadoop in the cloud on Azure HDInsight to analyze streaming or historical data. Note: Hue is not officially supported on Azure HDInsight components. BigDL is very easy to build and integrate. Effortlessly process massive amounts of data and get all the benefits of the broad open source ecosystem with the global scale of Azure. I am using Azure with Pay-as-you-go subscription. Easily run popular open source frameworks—including Apache Hadoop, Spark and Kafka—using Azure HDInsight, a cost-effective, enterprise-grade service for open source analytics. Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning. We have tried the .NET client before and confirmed that it works with HDInsight Kafka. I had experience in creating Spark cluster via HDInsight for myself, and got charged more than expected. Horton Data Platform is the complete set of the most important components of the Hadoop ecosystem. Tutorials and other documentation show you how to create clusters, process and analyze big data, and develop solutions with Hadoop, Spark, HBase, R-Server, Storm, and … Azure HDInsight is a cloud service that allows cost-effective data processing using open-source frameworks such as Hadoop, Spark, Hive, Storm, and Kafka, among others. However, since the client is not owned/supported by Microsoft, we are unable to provide detailed guidance for it. Azure HDInsight is a fully-managed cloud service that makes it easy, fast, and cost-effective to process massive amounts of data. Hope this helps.-----Do click on "Mark as Answer" and Upvote on the post that helps you, this can be beneficial to other community members. The docs include other examples as well which you can use to test HDInsight Kafka. It is very unfortunate that this is a limitation by design. Very unfortunate that this is a fully-managed cloud service that makes it easy, fast, and cost-effective to massive. 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