How do you process IoT data, change data capture (CDC) data, or streaming data from sensors, applications, and sources in real time? Apache Kafka® and Azure Databricks are widely adopted technologies in the industry, but they require specific skills and expertise to run. Leveraging Confluent Cloud and Azure Databricks as fully managed services in Microsoft Azure, you can implement new real-time data pipelines with less effort and without the need to upgrade your datacenter (or set up a new one).
This blog post demonstrates how to configure Azure Databricks to interact with Confluent Cloud so that you can ingest, process, store, make real-time predictions and gain business insights from your data.
Click through for a detailed demonstration.