์ค์๊ฐ ์์ง์ด๋ ๋ฐ์ดํฐ๊ฐ ๊ฐ์ ธ๋ค ์ค ๊ฐ์น, Data in Motion Tour์์ ํ์ธํ์ธ์!
We all love to play with the shiny toys, but an event stream with no events is a sorry sight. In this session youโll see how to create your own streaming dataset for Apache Kafka using Python and the Faker library. Youโll learn how to create a random data producer and define the structure and rate of its message delivery. Randomly-generated data is often hilarious in its own right, and it adds just the right amount of fun to any Kafka and its integrations!