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Copy file name to clipboardExpand all lines: articles/hdinsight/spark/apache-spark-analyze-application-insight-logs.md
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ms.topic: conceptual
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ms.date: 05/09/2018
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# Analyze Application Insights telemetry logs with Apache Spark on HDInsight
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Learn how to use [Apache Spark](https://spark.apache.org/) on HDInsight to analyze Application Insight telemetry data.
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The following diagram illustrates the service architecture of this example:
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### Azure storage
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1. From the [Azure portal](https://portal.azure.com), select your Spark on HDInsight cluster. From the **Quick Links** section, select **Cluster Dashboards**, and then select **Jupyter Notebook** from the Cluster Dashboard__ section.
2. In the upper right corner of the Jupyter page, select **New**, and then **PySpark**. A new browser tab containing a Python-based Jupyter Notebook opens.
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1. From the [Azure portal](https://portal.azure.com), select your Spark on HDInsight cluster. From the **Quick Links** section, select **Cluster Dashboards**, and then select **Jupyter Notebook** from the Cluster Dashboard__ section.
2. In the upper right corner of the Jupyter page, select **New**, and then **Scala**. A new browser tab containing a Scala-based Jupyter Notebook appears.
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3. In the first field (called a **cell**) on the page, enter the following text:
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