Explore a conference talk on leveraging Go concurrency for a gigabyte-scale real-world data pipeline. Dive into the challenges of migrating data from MongoDB to a relational database system, understanding the intricacies of MongoDB's oplog, and the evolution of pipeline designs. Learn how to implement and optimize worker pools, address performance bottlenecks, and utilize fan-out techniques for each database. Discover the power of concurrent data pipelines, compare performance metrics, and gain insights into resource utilization. Examine the final optimized pipeline design handling 16 databases with 128 collections each, and extract key takeaways for building efficient, scalable data migration solutions using Go's concurrency features.