Data is often called the “new oil,” but raw data is messy, complex, and unusable until it’s refined. This is where Databricks comes in.
Built on top of Apache Spark, Databricks has evolved into a leading unified data platform that combines the scalability of data lakes with the reliability of data warehouses — an approach now widely known as the Lakehouse architecture.
In this guide, we’ll explore what Databricks is, how it works, the industries adopting it, and why it is becoming central to AI-driven analytics in 2025.
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