クラウドで Kafka を活用 : Confluent なら10倍の効果が見込める理由 | 無料の電子ブックを入手
We all love to play with the shiny toys, but an event stream with no events is a sorry sight. In this session you’ll see how to create your own streaming dataset for Apache Kafka using Python and the Faker library. You’ll 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!