Developing Contextual, Event-Driven Applications with KSQL and Kafka

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Agenda:
6:00pm: Doors open
6:00-6:30pm Pizza, drinks and networking
6:30pm-7:15pm David Petersen, Systems Engineer, APAC | Confluent
7:15pm-7:45pm Q&A with Hans Jespersen, Vice President, WW Systems Engineering, Confluent
7:45-8:00pm Additional networking

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Speaker:
David Petersen, Systems Engineer, APAC | Confluent

Bio:
David is helping to shape the modern view of systems, introducing new ways of thinking, new patterns of Internet scale systems. He is a key strategic advisor helping to bring real time event systems to the forefront and shape opinions of how distributed systems should be built.
David leads Confluent's APAC systems strategy and implementation with new and existing clients along with the technical implementation across the region.

Title of Talk:
Developing Contextual, Event-Driven Applications with KSQL and Kafka

Abstract:
Unordered, unbounded and massive datasets are increasingly common in day-to-day business. Applications that combine these real-time data streams with historical context brings a massive advantage to solving very difficult tasks.

A real time Kafka platform moves your data up the stack, closer to the heart of your business, allowing you to build scalable, mission-critical services by quickly deploying SQL-like queries in a serverless pattern.

KSQL is the streaming SQL engine for Apache Kafka. KSQL lowers the entry bar to the world of stream processing, providing a simple and completely interactive SQL interface for processing data in Kafka. KSQL (like Kafka) is open-source, distributed, scalable, and reliable.

This talk will show you how to take advantage of this power by adopting new ways of using and looking at data by highlighting key use cases for real time data, and stream processing with KSQL: Real time analytics, security and anomaly detection, real time ETL / data integration, Internet of Things, application development, and deploying Machine Learning models with KSQL.

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