Lakehouse concept: In the context of data management and analytics, a "lakehouse" refers to a modern data architecture that combines the capabilities of data lakes and data warehouses. It aims to address the limitations and challenges associated with these traditional data storage and processing approaches. A data lakehouse provides a unified and scalable platform for storing, managing, and analyzing large volumes of structured and unstructured data. It incorporates the following key features: Data Storage: Similar to a data lake, a lakehouse enables the storage of raw and unprocessed data in its native format. This includes structured data (e.g., relational databases, CSV files) and unstructured data (e.g., logs, sensor data, images). By using a common storage layer, such as a distributed file system, data can be ingested from various sources without requiring upfront schema design or transformation. Ref.: https://www.databricks.com/wp-content/uploads/2020/01/data-lakehouse...
Welcome to explore technology about Kubernetes, MySQL, Machine Learning | Deep Learning - Shrenik Parekh