Data engineering can be painful, time consuming and complicated. It requires working with data of all types, shapes and transport methods. The good news is, Cribl is here! On our journey we have seen it all, and learned a lot along the way, while migrating a large, diverse, set of data sources from legacy ingestion methods to Cribl. In this session, we will share the challenges encountered, lessons learned, best practices we adopted and things we just simply wish we knew from the start. Sit back and let us share with you our journey to modernizing data engineering using Cribl.
