Modern streaming use cases are generating massive amounts of data - much of it needs to be organized and queried over time. The sheer amount and complexity of this problem presents new challenges for data engineers and developers alike.
To solve this problem Apache Kafka and MongoDB Time Series collections are a powerful combination. In this talk, Kenny Gorman and Elena Cuevas will present how Apache Kafka on Confluent Cloud can stream massive amounts of data to Time Series Collections via the MongoDB Connector for Apache Kafka. Elena and Kenny 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 will leave armed with the knowledge of how Confluent Cloud, Apache Kafka, MongoDB Atlas, and Time Series collections fit into your event-driven architecture.