Navigating SQL Data Changes: Tools and Techniques for Data Recovery - RUBY 645

In today's episode, Valentino is joined by Evgeny Li, a seasoned software developer and founder of Bemi, to delve into the complex world of data recovery and auditing within SQL databases. They explore advanced solutions like paper trail and refi for querying historical changes, point-in-time recovery features offered by cloud-managed databases, and the use of AI to humanize data structures and enhance monitoring.
They highlight the critical role of Change Data Capture (CDC) in tracking and troubleshooting data changes, with real-world applications across logistics, healthcare, and more. They also discuss the pros and cons of different CDC implementations—query-based, trigger-based, and log-based approaches.
Valentino and Evgeny shed light on the challenges of managing large data volumes, emphasizing proactive design and the importance of strong data management systems. They touch upon essential tools like GitHub Copilot, OpenTelemetry, and various auditing gems, offering valuable insights into maintaining data integrity and performance.
Tune in as we navigate the intricacies of data management, the impact of AI, and best practices to ensure reliable and efficient database operations.


Socials

• LinkedIn: Evgeny Li
• GitHub: @exAspArk

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