๊ตญ๋ด No.1 ์๋์ง IT๊ธฐ์ โํด์คโ์ ์ปจํ๋ฃจ์ธํธ ํด๋ผ์ฐ๋ ๋์ ์คํ ๋ฆฌ | ์์๋ณด๊ณ ๋ฑ๋กํ๊ธฐ
Apache Kafkaยฎ has become a key data infrastructure technology, and we all have at least a vague sense that it is a messaging system, but what else is it? How can an overgrown message bus be getting this much buzz? Well, because Kafka is merely the center of a rich streaming data platform that invites detailed exploration.
In this talk, weโll look at the entire streaming platform provided by Apache Kafka and the Confluent community components. Starting with a lonely key-value pair, weโll build up topics, partitioning, replication, and low-level Producer and Consumer APIs. Weโll group consumers into elastically scalable, fault-tolerant application clusters, then layer on more sophisticated stream processing APIs like Kafka Streams and ksqlDB. Weโll help teams collaborate around data formats with schema management. Weโll integrate with legacy systems without writing custom code. By the time weโre done, the open-source project we thought was Big Dataโs answer to message queues will have become an enterprise-grade streaming platform, all in 45 minutes!