What is a Data Lake Object (DLO) primarily used for?

A Data Lake Object (DLO) is primarily used as a storage container for data that originates from various data stream sources. This functionality allows organizations to aggregate vast amounts of structured and unstructured data in its raw form, making it readily available for future processing and analytics.

The key feature of a DLO is its ability to store large volumes of data without the need for a predetermined schema, enabling more flexible data management. As new data streams in, they can be easily added to the Data Lake, facilitating a comprehensive storage solution that supports various analytical and operational use cases down the line. By serving as a central repository for this incoming data, DLOs play a crucial role in enabling organizations to leverage data for insights and decision-making.

In contrast, other options focus on specific functionalities such as customer analysis, sales reporting, or user interface design, which are more specialized roles that depend on the data being appropriately stored and managed, rather than the primary function of a Data Lake Object.