This podcast explores techniques for safely and efficiently importing large datasets into a live, running database without disrupting performance or availability. It discusses parallel ingestion strategies, batching, concurrency control, and best practices for maintaining consistency during high-throughput loads. Perfect for data engineers, database administrators, and backend developers working with large-scale, production systems.