Today’s modern systems generate, as well as process data faster, and in larger volumes than ever before. Whether it’s IOT sensor data, business or social media feeds, or even internal system logs, data often arrives as a continuous stream of events needing attention. Whilst there is no one size fits all, it's crucial to ensure you have a solid streaming architecture in place capable of handling everything thrown at it. Architectures which can scale and are resilient to failures and data surges, and likewise allow for intelligent, timely decision making processes (including AI/ML models) to be embedded and executed at the most appropriate time.
Join us on this track to learn from innovators and engineers in the trenches on how they are designing systems and leveraging modern data stream processing platforms to deal with such challenges. Hear war stories and gain insights into the concrete approaches and solutions applied, as well as pitfalls to avoid. Finally, peer into the future world of the event streaming database - an emerging new category of database that looks to focus on 'data that moves’.
