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‎articles/stream-analytics/capture-event-hub-data-parquet.md

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@@ -47,10 +47,20 @@ Use the following steps to configure a Stream Analytics job to capture data in A
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1. In the **Choose Output data error handling** list, select the behavior you want when the output of the job fails due to data error. Select **Retry** to have the job retry until it writes successfully or select another option.
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:::image type="content" source="./media/capture-event-hub-data-parquet/start-job.png" alt-text="Screenshot showing the Start Stream Analytics job window where you set the output start time, streaming units, and error handling." lightbox="./media/capture-event-hub-data-parquet/start-job.png" :::
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## Verify output
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Verify that the Parquet files are generated in the Azure Data Lake Storage container.
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:::image type="content" source="./media/capture-event-hub-data-parquet/verify-captured-data.png" alt-text="Screenshot showing the generated Parquet files in the ADLS container." lightbox="./media/capture-event-hub-data-parquet/verify-captured-data.png.png" :::
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The new job is shown on the **Stream Analytics jobs** tab. Select **Open metrics** to monitor it.
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:::image type="content" source="./media/capture-event-hub-data-parquet/open-metrics-link.png" alt-text="Screenshot showing Open Metrics link selected." lightbox="./media/capture-event-hub-data-parquet/open-metrics-link.png" :::
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Here's an example screnshot of metrics showing input and output events.
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:::image type="content" source="./media/capture-event-hub-data-parquet/job-metrics.png" alt-text="Screenshot showing metrics of the Stream Analytics job." lightbox="./media/capture-event-hub-data-parquet/job-metrics.png" :::
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## Next steps
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Now you know how to use the Stream Analytics no code editor to create a job that captures Event Hubs data to Azure Data Lake Storage Gen2 in Parquet format. Next, you can learn more about Azure Stream Analytics and how to monitor the job that you created.
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