If you manage a modern data stack, you likely spend the majority of your time and compute budget moving data around. You pull data from an operational database, stage it in object storage, transform it, load it into a data warehouse, and finally extract it into BI extracts. This DIY approach creates fragile pipelines, delayed insights, and vendor lock-in. Dremio exists to eliminate this complexity. As a mature platform with 11 years of engineering development behind it, it is a unified analytics solution that allows you to query data where it lives, govern it securely, and interact with it using built-in Agentic AI. To understand what Dremio does, you must view it as a three-part platform: a Federated Query Engine, an Iceberg Lakehouse Platform, and an Agentic AI Layer.…