Patrick Druley

Big Data and Stream Processing with Apache Kafka® and KSQL

Description:

There is a major shift happening in how data powers the core of a company’s business. Apache Kafka® was built with the vision of becoming the central nervous system that makes data available in real-time to all the applications that need to use it. This talk will introduce you to leveraging a streaming platform for everything from Big Data analytics to leading-edge applications. It will introduce some of the newer components to Kafka that help make this possible, including Kafka Connect, a framework for capturing continuous data streams, and KSQL, an open source SQL engine built on Kafka Streams.

Patrick’s Bio:

Patrick Druley is a Systems Engineer at Confluent, advising business leaders on how to accelerate transformation of their business through real-time event streaming. He has spent over a decade working with customers in every industry and has a deep understanding of the challenges that companies face every day. At Confluent, he works with customers using the Confluent Platform and Apache Kafka® to reduce point-to-point integration and drive real-time applications that revolutionize their business. He began his career building and enhancing data warehouses at Teradata, and later focused on advanced analytics relevant to consumer behavior and marketing. Before joining Confluent, Patrick was part of Oracle’s Big Data Cloud Platform team helping companies migrate to cloud-based solutions for their Big Data and Analytics needs. He has a degree in Computer Science from the University of Cincinnati and is based out of northeast Ohio.