Modern streaming use cases generate massive amounts of data which must be queried and organized over time. The sheer amount and complexity presents new challenges for data engineers and developers alike.
Apache Kafka® and MongoDB time series collections combine to solve this problem. In this talk, Kenny Gorman and Anand Venugopal present how Apache Kafka® on Confluent Cloud can stream massive amounts of data to time series collections via the MongoDB Connector for Apache Kafka®. Kenny and Anand will discuss the required configuration details and critical components of Confluent Cloud and MongoDB Atlas as well as some tips, tricks, and best practices.
You’ll leave armed with the knowledge of how Confluent Cloud, Apache Kafka®, MongoDB Atlas, and time series collections fit into your event-driven architecture.