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Update databricks-stream-from-eventhubs.md
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articles/azure-databricks/databricks-stream-from-eventhubs.md

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# Tutorial: Stream data into Azure Databricks using Event Hubs
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> [!IMPORTANT]
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> This tutorial works with the version of Azure Databricks runtime 5.2.
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In this tutorial, you connect a data ingestion system with Azure Databricks to stream data into an Apache Spark cluster in near real-time. You set up data ingestion system using Azure Event Hubs and then connect it to Azure Databricks to process the messages coming through. To access a stream of data, you use Twitter APIs to ingest tweets into Event Hubs. Once you have the data in Azure Databricks, you can run analytical jobs to further analyze the data.
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By the end of this tutorial, you would have streamed tweets from Twitter (that have the term "Azure" in them) and read the tweets in Azure Databricks.
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Accept all other default values other than the following:
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* Enter a name for the cluster.
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* For this article, create a cluster with **5.2** runtime.
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* For this article, create a cluster with **6.0* runtime.
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* Make sure you select the **Terminate after \_\_ minutes of inactivity** checkbox. Provide a duration (in minutes) to terminate the cluster, if the cluster is not being used.
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Select cluster worker and driver node size suitable for your technical criteria and [budget](https://azure.microsoft.com/pricing/details/databricks/).

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