What type of files is primarily stored in the Data Sphere object store?

The primary type of files stored in the Data Sphere object store is datalake files. This is because the Data Sphere is designed to handle large volumes of diverse data formats, including those typically associated with data lakes, such as structured, semi-structured, and unstructured data. Datalake files can include various forms of data such as logs, images, videos, and large datasets used for analytics and machine learning processes.

By focusing on datalake files, the Data Sphere facilitates robust data management, allowing organizations to store and analyze massive amounts of data efficiently. The technology supports data processing and analytics on a large scale, which aligns perfectly with the concept of a data lake that is meant to consolidate disparate data sources into a singular, unified storage solution for flexibility in data analytics.

Other file types, while they may be stored in different storage solutions, are not the primary focus of the Data Sphere object store. For instance, image files, text documents, and spreadsheet files can be part of a data lake, but they do not encompass the broad scope and primary purpose that datalake files represent within the context of data management and analytics in the Data Sphere.