์‹ค์‹œ๊ฐ„ ์›€์ง์ด๋Š” ๋ฐ์ดํ„ฐ๊ฐ€ ๊ฐ€์ ธ๋‹ค ์ค„ ๊ฐ€์น˜, Data in Motion Tour์—์„œ ํ™•์ธํ•˜์„ธ์š”!

Online Talk

Event Streaming and the MongoDB Kafka Connector

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 Kafkaยฎ 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.

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Jeff Bean

Technical Marketing

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.

Robert Walters

Director of IoT

Register Now

์ถ”๊ฐ€ ๋ฆฌ์†Œ์Šค

cc demo
kafka microservices
Image-Event-Driven Microservices-01

์ถ”๊ฐ€ ๋ฆฌ์†Œ์Šค

cc demo
kafka microservices
microservices-and-apache-kafka