Varsha Sharma

Imagine a social security system that's faster, fairer, and more compassionate. A system where benefits are disbursed in real-time, fraud is detected before it happens, and eligibility verification is accurate and efficient. This isn't just a vision – it's a reality made possible by harnessing the power of real-time data streaming technologies like Apache Kafka, Apache Flink, and cloud-based data platforms. This talk will explore the transformative potential of real-time data streaming in social security. Discover how this technology can: - Accelerate benefit disbursement using Apache Kafka's event-driven architecture, ensuring timely support for those in need - Proactively detect and prevent fraud using Apache Flink's real-time processing and machine learning capabilities, protecting the integrity of the system - Enhance eligibility verification using cloud-based data platforms, reducing errors and overpayments - Personalize benefits using real-time data analytics, tailoring support to individual needs Through real-world examples and case studies, we'll demonstrate the power of real-time data streaming to create a more equitable, efficient, and effective social security system.…

The session will demonstrate the steps required to set up Single Sign-On (SSO) in Confluent Control Center using Confluent for Kubernetes (CFK). It will use a practical example to cover the technical aspects of configuring SSO using OpenID Connect (OIDC) with Confluent Control Center, focusing on the necessary configurations with CFK to automate the setup process. Attendees will gain insights into enhancing security and user management in data streaming environments and preparing for OAuth deployment in Confluent Platform.