What is a federated data lake?

A data lake is the collection of all the raw, unfiltered data of an organization. Data federation is the software process of collecting all the data across the organization in a single repository. It makes the data search easier for the end-users. Consequently, a federated data lake is a software repository containing data from an organization's databases. A federated search engine can be carried out only if the data federation has been applied and the federated data lake is formed.

A federated data lake contains diverse raw and unprocessed data of an organisation, which can be easily accessed by a single search log. The software process of a federated data lake affords the user to retrieve many resources from the organisation's database within a moment. A sample of this federated data lake is seen in the Amazon web services that operate a search engine with optimized data lakes whereby a user can conduct a federated search through the configured software and federated database to obtain federated data management. Through the federated data lakes, a user can access different data types and models without visiting separate queries or databases. This ensures data management and accuracy of search results.

A federated data lake is a large-scale, interconnected data pool. It enables organizations to store and analyze their data across various storage systems. On the other hand, federated search engines use algorithms to index and retrieve content. It allows the users to find relevant content from multiple sources in a unified place.