Raghav Mohan joins Scott Hanselman to talk about Apache Kafka on HDInsight, which added the open-source distributed streaming platform last year to complete a scalable, big data streaming scenario on Azure. The service has come a long way since – processing millions of events/sec, petabytes of data/day to power scenarios like Toyota’s connected car, Office 365’s clickstream analytics, fraud detection for large banks, etc. Deploy managed, cost-effective Kafka clusters on Azure HDInsight with a 99.9% SLA with just 4 clicks or pre-created ARM templates.
For more information, see:
Announcing Apache Kafka for Azure Hdinsight General Availability – https://azure.microsoft.com/en-us/blog/announcing-apache-kafka-for-azure-hdinsight-general-availability/
Apache Kafka for HDInsight – https://azure.microsoft.com/en-us/services/hdinsight/apache-kafka/
Start with Apache Kafka on HDInsight (docs) – https://docs.microsoft.com/en-us/azure/hdinsight/kafka/apache-kafka-get-started
Use Apache Kafka with Storm on HDInsight (docs) – https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-apache-storm-with-kafka
Apache Spark streaming (DStream) example with Kafka on HDInsight (docs) – https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-apache-spark-with-kafka
Analyze logs for Apache Kafka on HDInsight (docs) – https://docs.microsoft.com/en-us/azure/hdinsight/kafka/apache-kafka-log-analytics-operations-management
Publisher: Microsoft Azure
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