Modern businesses have data at their core, and this data is changing continuously. How can we harness this torrent of continuously changing data in real-time? The answer is stream processing, and Apache Kafka® is a core hub for streaming data.
This talk will provide a brief introduction to Apache Kafka and describe its usage as a platform for streaming data. It will explain how Kafka serves as a foundation for both streaming data pipelines and applications that consume and process real-time data streams. It will introduce some of the newer components of Kafka that help make this possible, including Kafka Connect, a framework for capturing continuous data streams, and Kafka Streams, a lightweight stream processing library.
Viktor Gamov, Developer Advocate and Solutions Architect, Confluent
Viktor Gamov is a Solutions Architect and Developer Advocate at Confluent, the company that makes an event streaming platform based on Apache Kafka. Back in his consultancy days, Viktor developed comprehensive expertise in building enterprise application architectures using open source technologies.He enjoys helping architects and developers to design and develop low latency, scalable and highly available distributed systems. He is a professional conference speaker on distributed systems, streaming data, JVM and DevOps topics, and is regular on events including JavaOne, Devoxx, OSCON, QCon, and others. Follow Viktor on Twitter @gamussa, where he posts there about gym life, food, open source, and, of course, Kafka and Confluent!
上の「新規登録」をクリックすることにより、当社がお客様の個人情報を以下に従い処理することを理解されたものとみなします : プライバシーポリシー
Get up to $200 off on each of your first 3 Confluent Cloud monthly bills
Choose one sign-up option below