Data Warehouse vs. Data Lake vs. Data Lakehouse: Know the differences
In the ever-evolving world of data management, three key concepts have gained prominence: Data Warehouse, Data Lake, and the relatively new entrant, Data Lakehouse. Each of these approaches offers distinct advantages and serves different purposes in the data ecosystem. In this article, we will explore the concepts behind these three data management strategies and present their use cases to help organizations make informed decisions about the best approach for their data needs.
Before start, please subscribe to my youtube channel. I talk about tech and life abroad, as much as travelling =D
linkedin.com/in/cassiobolba
Data Warehouse
A Data Warehouse is a centralized repository for storing structured data that has been processed, transformed, and optimized for analytical purposes. It is typically designed to support the reporting, querying, and analysis needs of an organization. Data Warehouses have a predefined schema and provide a single source of truth for business data.
