Building a Real-time Streaming Platform Using Kafka Streams and Kafka Connect
Date: This event took place live on April 07 2016
Presented by: Jay Kreps
Duration: Approximately 60 minutes.
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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 one system that has become a core hub for streaming data is Apache Kafka.
This presentation will give a brief introduction to Apache Kafka and describe it's 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, framework for capturing continuous data streams, and Kafka Streams, a lightweight stream processing library. Finally it will describe the lessons learned by companies like LinkedIn building massive streaming data architectures.
About Jay Kreps, Co-Founder & CEO – Confluent
Jay Kreps is the CEO of Confluent, Inc., a company backing the popular Apache Kafka messaging system. Prior to founding Confluent, he was formerly the lead architect for data infrastructure at LinkedIn. He is among the original authors of several open source projects including Project Voldemort (a key-value store). Apache Kafka (a distributed messaging system) and Apache Samza (a stream processing system).