The concept of event-driven ELT paradigms has been a long-standing desire in the data engineering ecosystem and even more so as modern data architectures explore and approach the Lakehouse paradigm. While there are numerous event-driven data ingestion patterns in Azure, managing the changing schemas for streaming data has traditionally been a challenge. Additionally, the setup and management of Event Grid subscriptions, topics, and more have also been a challenge to seamlessly integrate with Spark.
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