Building Scalable & Resilient Data Systems: From Concept to Execution

About the Session

Ensuring data systems' resilience and performance is crucial for organizations aiming to maintain uninterrupted business operations. In high-demand environments, data systems performance is often bottlenecked by several limitations. Many organizations have their data infrastructure established on robust, relational database platforms. However, as businesses evolve to meet the rising demands for efficiency, the limitations of these platforms become more apparent. This session focuses on the scalability and resilience of data systems and how you can build them better for business continuity. We'll explain what resilience means for data systems, why it matters, and the best ways to design data systems that can mitigate disaster and performance disruptions. Then, we'll dive into how AI can make these systems better by predicting and preventing problems before they happen, automating recovery processes, and keeping everything running smoothly with little human operation. Through real-life case studies, we'll explore how companies have successfully improved their database systems, ensuring business continuity and making them more efficient and cost-effective.

Speaker

Samuel Iheagwam

Senior Data Developer & DataBase Administrator.