What are data lakes?
A central place called a "data lake" keeps a lot of data in its original, unprocessed form. A data lake uses a flat architecture and object storage to store the data as opposed to a hierarchical data warehouse, which stores data in files or folders. Data is stored in object storage with metadata tags and a unique identifier, which enhances performance and makes it simpler to find and retrieve data across regions. Data lakes make it possible for numerous apps to use the data by utilizing open standards and cheap object storage. Due to their open structure, data lakes let users avoid being locked onto proprietary systems like data warehouses, which has become more and more crucial in contemporary data architectures. Data lakes are not only incredibly durable and economical, but they can also expand and utilize object storage.