[Webinar] Deliver enterprise-grade Apache Kafka® to your customers | Join Now
A well-known debate: tabs or spaces? Let’s settle the debate, Kafka-style. We’ll use the new confluent-kafka-javascript client to build an app that produces the current state of the vote counts to a Kafka topic and consumes from that same topic to surface them to a JavaScript frontend.
Learn why data at rest sometimes needs to be transformed into a stream of data, and learn how to turn a REST API into a data stream using Apache Flink and Apache Kafka. Along the way, you’ll also find out the advantages of having your REST API data in streaming format.
Part two in the series on using FlinkSQL, Kafka, and Streamlit dives into async.io, FlinkSQL syntax, and Streamlit barchart component structure.
In part 1 of this series, we’ll make an app, powered by Kafka and FlinkSQL in Confluent Cloud and visualized with Streamlit, that allows a user to select a stock, in this case SPY, or the SPDR S&P 500 ETF Trust. Upon selection, a live chart of the stock’s bid prices, calculated every five seconds...
Learn how to contribute to open source Apache Kafka by writing Kafka Improvement Proposals (KIPs) that solve problems and add features! Read on for real examples.