There is a monumental shift happening in how data powers a company's core business. This shift is about moving away from batch processing and to real-time data. Apache Kafka was built with the vision to help companies traverse this change and 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 the foundation to streaming data applications. You will learn how KSQL, Connect, and the Streams API with Apache Kafka capture the entire scope of what it means to put real time into practice.
Neha Narkhede is co-founder and CTO at Confluent, the company behind the popular Apache Kafka streaming platform. Prior to founding Confluent, Neha led streams infrastructure at LinkedIn, where she was responsible for LinkedIn’s streaming infrastructure built on top of Apache Kafka and Apache Samza. She is one of the initial authors of Apache Kafka and a committer and PMC member on the project.
