[Demo] Design Event-Driven Microservices for Cloud → Register Now

Online Talk

Event Streaming and the MongoDB Kafka Connector

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Available On-Demand

Many companies collect and store their data in various data stores and use a number of business applications and services to access, analyze and act on their data. Pulling all the data from disparate sources is difficult to manage, inefficient and ineffective in producing results. Event streaming and stream processing changes this paradigm. By enabling robust and reactive data pipelines between all your data stores, apps and services, you can make real-time decisions that are critical to your business. In this online talk, we introduce Apache Kafka® and the MongoDB connector for Kafka, and demonstrate a real world stock trading use case that joins heterogeneous data sources to find the moving average of securities using Apache Kafka and MongoDB.

Jeff runs the technical marketing team at Confluent, which is responsible for producing material for technical practitioners such as demos, reference architectures, examples and blogs for activities such as solutions launches, product releases and keynotes. Jeff has over 25 years of experience in the industry as a software engineer, partner solutions architect, trainer and technical marketer with emphases on stream processing, event streaming and data infrastructure.

Additional Resources

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Confluent Cloud Demo

Join us for a live demo of Confluent Cloud, the industry’s only fully managed, cloud-native event streaming platform powered by Apache Kafka
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Kafka Microservices

In this online talk series, learn key concepts, use cases and best practices to harness the power of real-time streams for microservices architectures
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e-book: Microservices Customer Stories

See how five organizations across a wide range of industries leveraged Confluent to build a new class of event-driven microservices