You need to design a solution that will process streaming data from an Azure Event Hub and output the data to Azure Data Lake Storage. The solution…

Apache Spark Structured Streaming is a fast, scalable, and fault-tolerant stream processing API. You

can use it to perform analytics on your streaming data in near real-time.

With Structured Streaming, you can use SQL queries to process streaming data in the same way that

you would process static data.

Azure Event Hubs is a scalable real-time data ingestion service that processes millions of data in a

matter of seconds. It can receive large amounts of data from multiple sources and stream the

prepared data to Azure Data Lake or Azure Blob storage.

Azure Event Hubs can be integrated with Spark Structured Streaming to perform the processing of

messages in near real-time. You can query and analyze the processed data as it comes by using a

Structured Streaming query and Spark SQL.

Reference: https://k21academy.com/microsoft-azure/data-engineer/structured-streaming-withazure-event-hubs/