There is a major shift happening in how data powers the core of a company's business. Businesses operate in real time and the software they use is catching up. Rather than processing data only at the end of the day, why not react to it continuously as the data arrives? This is the emerging world of stream processing. Apache Kafka® was built with the vision to become the central nervous system that makes data available in real-time to all the applications that need to use it.
This talk explains how companies are using the concepts of events and streams to transform their business to meet the demands of this digital future and how Apache Kafka serves as a foundation to streaming data applications.
Paul Mac Farland, Director of Solutions Engineering - East Americas, Federal and LATAM, Confluent
Paul has been working on Enterprise Solutions, Advanced Analytic Solutions and Big Data Solutions for over ten years. This includes everything from ultra-low latency middleware and trading technology to compliance systems to cybersecurity. As Director of Solutions Engineering for the Confluent team joining from Cloudera, Paul architects streaming platform solutions across many industries and use cases allowing organizations to become event-driven.