Databricks is a unified analytics platform built on top of Apache Spark, providing a collaborative environment for data engineering, data science, and machine learning workflows. The platform abstracts infrastructure complexity through managed clusters, interactive notebooks, and integrated tooling while adding enterprise features like Unity Catalog for data governance, Delta Lake for ACID transactions, and MLflow for ML lifecycle management. Understanding Databricks-specific capabilities—from magic commands and widgets to workflows and security—enables practitioners to build production-grade data pipelines and ML systems efficiently without deep infrastructure expertise.