What does a Data Lake Object (DLO) serve as?

A Data Lake Object (DLO) functions primarily as a storage container for various data types coming from data stream sources. This means that a DLO can accommodate vast amounts of unstructured, semi-structured, or structured data, allowing organizations to ingest data from multiple sources without the need for predefined schemas.

Since a DLO can manage data at scale and provide access for different analytics tools, it plays a crucial role in big data storage solutions. This ability to serve as a comprehensive storage solution enables organizations to store and retain data for future analysis, making it an essential component of data architecture in environments where quick access to large volumes of data is required.

Additionally, while the other options may touch on aspects of data analysis, marketing, or performance tracking, they do not accurately define the core purpose of a Data Lake Object, which is fundamentally about data storage.