My CDC First Architecture | Part 1 | Hebrew

In a world where data constantly flows from operational systems, applications, and diverse cloud environments, a **CDC (Change Data Capture)** approach has become a fundamental pillar of any modern data architecture. This session will explore the advantages and disadvantages of this approach, its critical role in accelerating real-time data integration, and the challenges of a “CDC-First” architecture - including load management, update ordering, and the separation of Bronze–Silver–Gold data layers. We’ll also dive into a comparison between three key architectural paradigms: * **Embedding Architecture** – tailored for AI-driven and recommendation-based applications. * **Analytical Architecture** – focused on analytics systems and dashboards. * **Operational Architecture** – designed for mission-critical systems that require real-time consistency and freshness. We’ll discuss the pros and cons of each, how to combine them effectively, and how proper architectural planning can prevent future headaches, reduce costs, and accelerate business innovation. Speaker: **Omid Vahdaty** Omid is the Founder and CTO of **Jutomate**, a company that provides services and solutions in data, cloud, and AI. He is an expert in data architecture, product innovation, and strategic engineering thinking, with over 20 years of experience across startups, global enterprises, and government organizations.