1 year ago

Data continues to be one of the most critical assets and transformational drivers across small and large enterprises. However, enterprises are grappling with constantly growing https://thenewstack.io/category/data/, making it difficult for them to operate and manage with their existing data lake and data warehouse architectures.

Data Warehouse vs. Data Lake https://www.linkedin.com/in/purushottam-darshankar-311502b7/?originalSubdomain=uk Prior to the recent advances in data management technologies, data warehouses were the architectural standard for storing and processing business data.

Since data warehouses and data lakes both have benefits, enterprises came up with a new https://www.analytics8.com/services/data-management/ architectural pattern — a lakehouse that combines the low-cost, scalability and flexibility of a data lake with the data management and data structure of a data warehouse.

A robust, modern enterprise data architecture integrates a data lake, a data warehouse using the lakehouse approach and other purpose-built functionalities for unified data governance and seamless data movement.