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Answer: Using the Spark Event Hubs connector to consume messages in a Spark DataFrame.
The Spark Event Hubs connector is specifically designed for integrating Apache Spark with Azure Event Hubs, enabling real-time analytics. It allows Spark to consume messages from Event Hubs into a Spark DataFrame, facilitating efficient processing of real-time data streams. This method supports low-latency processing and complex data operations, making it the most effective approach for real-time analytics in Databricks.
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How can Apache Spark's Structured Streaming be optimally used with Azure Event Hubs for real-time analytics in a Databricks environment?
A
Streaming data directly into Power BI for live dashboards without using Spark.
B
Manual polling of Event Hubs from Spark using the Azure SDK.
C
By creating a direct VPN connection between Databricks and Event Hubs.
D
Using the Spark Event Hubs connector to consume messages in a Spark DataFrame.
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