Drastically Reducing Processing Costs with Delta Lake

Explore a 34-minute conference talk by Amadeus Principal Data Engineers Generoso Pagano and Mauricio Jost on optimizing data pipelines using Delta Lake and Databricks. Learn how Amadeus, a global travel technology company, transformed raw data into efficient star schemas while meeting customer demands for extensive historical data and high refresh rates at low costs. Discover the tools and methodology used to identify read-and-write amplification issues, and gain insights into essential features like Predictive I/O, Photon, Deletion Vectors, Partition Pruning, and Dynamic File Pruning. Understand how collaboration with Databricks led to significant cost reductions in processing travel industry data. Gain valuable knowledge on implementing state-of-the-art features to optimize your own data pipelines and reduce infrastructure costs.

Drastically Reducing Processing Costs with Delta Lake