A data lakehouse is a relatively modern approach to managing and processing data. It combines the best features of data warehouses and data lakes by integrating the structured querying capabilities of a data warehouse with the scalability, storage, and processing capabilities of a data lake.
What Technologies or Platforms Support Data Lakehouse Architectures?
Data lakehouses usually start as data lakes containing all data types; the data is then converted to Delta Lake format (an open-source storage layer that brings reliability to data lakes). Delta lakes enable ACID transactional processes from traditional data warehouses on data lakes.
Commonly used technologies include cloud-based platforms like AWS, Azure, or GCP, along with tools such as Apache Delta Lake or Databricks for managing and processing data within the lakehouse.
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