Dealing with Data Consistency - a CDC approach to dual write

📖 Abstract

Are data consistencies keeping you up at night?
We will explore how Change Data Capture (CDC) can be used to synchronize data across multiple systems without compromising integrity. The spotlight of this tech talk will be on Debezium, an open-source CDC platform that excels in capturing and delivering database changes across various systems. We will see how it can be used to enable seamless dual writes, ensuring data consistency across multiple data stores without compromising performances.

Language: English

🗣 Speaker
Active in the open-source community with contributions to various projects, Mario Fiore Vitale is deeply involved in developing Debezium, the distributed platform for change data capture. As a Senior Software Engineer at Red Hat, he has developed extensive experience in event-driven architectures heavily influenced by data. Throughout his career, Mario has predominantly focused on data-intensive software and product development, which has heightened his sensitivity to developer experience and data-driven applications.
Beyond his professional pursuits, Mario finds joy at the intersection of technology and personal interests. He is an avid photographer, capturing moments through his lens. He is also a motorsports enthusiast, drawn to the adrenaline of racing. When he's not immersed in the world of software development, you can often find him exploring the great outdoors on his mountain bike, fueling his passion for adventure.