Apache Kafkaยฎ๏ธ ๋น„์šฉ ์ ˆ๊ฐ ๋ฐฉ๋ฒ• ๋ฐ ์ตœ์ ์˜ ๋น„์šฉ ์„ค๊ณ„ ์•ˆ๋‚ด ์›จ๋น„๋‚˜ | ์ž์„ธํžˆ ์•Œ์•„๋ณด๋ ค๋ฉด ์ง€๊ธˆ ๋“ฑ๋กํ•˜์„ธ์š”

White Paper

Messaging Integration with Confluent

์ง€๊ธˆ ๋‹ค์šด๋กœ๋“œํ•˜์‹ญ์‹œ์˜ค!

Messaging systems have been successfully deployed in a wide variety of ways within todayโ€™s production enterprise architectures. But enterprises are increasingly looking to unlock the value of data thatโ€™s locked away in these legacy systems for data in motion and real-time use-case as well as build data pipelines for cloud based applications.

In this white paper, we cover how to:

  • Keep your existing on-prem messaging middleware in place and use Confluent to power hybrid-cloud use-cases.
  • Ingest data from ActiveMQ, IBM MQ, RabbitMQ, or TIBCO EMS via pre-built and fully managed connectors and Confluent Schema registry
  • Leverage ksqlDB for stream processing to merge, enrich, and join data sets from different messaging systems
  • Relay the resulting data to an ElasticSearch or MongoDB sink on the Cloud via fully managed connectorsโ€” or an RDBMS, NoSQL or another Database.

By putting data in motion across your organization, your developers can focus on building business logic faster by leveraging a rich ecosystem of connectors and sophisticated stream processing capabilities. Migrate at your own pace to a cloud-first architecture.