Streaming real time data with Kafka

Abstract

The business value of data drastically deduces over time and in order to take critical decisions, it becomes important to process the data in near real time. Detecting frauds, predictive and preventive analytics are few use cases that are time critical. Events and Event-driven systems are well suited for building future-ready solutions and the collected real-time data shall gracefully age and still be utilized by the historical data processing systems. When the data is emitted as events, they lay the foundation for event driven systems.

Kafka is distributed system that can be used for event streams in real/near-real time. In this webinar we will discuss some key highlights of real time streaming use case with real time examples.

Agenda

• Introducing events and event streams
• Commands vs events
• Kafka streams Topology
• Kafka state and store

About the speaker

Pradeep comes with more than 18 years of extensive experience in building fault tolerant, highly scalable cloud native applications. He strives on writing clean code, emphasis on domain driven design principles and conduct workshops on building production grade web applications covering all the challenging concerns.