What is Data Lakehouse?

A data lakehouse is a hybrid data management approach that combines the structure and data management features of a data warehouse with the flexibility and cost-effectiveness of a data lake. It allows organizations to store data in its raw, unprocessed format (like a data lake) while also applying schema and governance to enable efficient analysis and querying (like a data warehouse). Data lakehouses are commonly used for business intelligence, machine learning, and advanced analytics by providing a unified platform for diverse data workloads. They often leverage open formats like Parquet and open-source query engines like Spark or Presto to avoid vendor lock-in.