What is the difference between Data Lake and Data Cache?
1 Like
Data Lake:
A data lake is a large and centralized repository that stores vast amounts of raw and unstructured data in its native format. It is designed to handle a wide variety of data types, including structured, semi-structured, and unstructured data, such as text, images, videos, logs, and more. Data lakes are used to store big data and are often employed in big data analytics and machine learning applications. Example Aws,Azure and NFS
Data Cache:
A data cache is a hardware or software component that stores frequently accessed data in a temporary storage location to improve the performance of data retrieval. When data is requested, it is first checked in the cache, and if found, it’s retrieved from there, which is faster than fetching it from the original data source. Example Heavy.ai
1 Like