There are several reasons for businesses to adopt data lakes. They include flexibility for storing and managing large amounts of information of various types. Organizations may have both structured information, like sales history and customer profiles, as well as unstructured data, such as documents, pictures, videos, emails, and web pages. In a data lake, all those forms of information are stored, and there is no need to transform data immediately. Flexibility is one of the main aspects to take into account when thinking about what is a data lake. Companies can store data first and analyze it later depending on their needs. Data lakes are useful for applications such as business intelligence, machine learning, prediction, reporting, and information discovery. Data lakes can be helpful for bringing information from different departments of a company to a more centralized state. The right data lake architecture will facilitate the process of scaling the storage capacity while ensuring governance and security controls. However, businesses should have a proper data management strategy since the lack of control over data lakes may make searching, managing, and trusting such information difficult.
