What is needed for data files to be shared in accordance with Delta Share principles?

Delta Share principles focus on enabling secure and efficient data sharing across various platforms and organizations. Delta Lake tables are essential in this context because they provide an open source storage layer that enables ACID transactions, scalable metadata handling, and unifies batch and streaming data processing.

Utilizing Delta Lake tables allows data engineers and scientists to share data reliably with consistent structure and schema definitions. This structure is crucial for any data sharing implementation, ensuring that the data remains immutable while providing the ability to version datasets. Furthermore, Delta Share is specifically designed to facilitate secure sharing of each version of these tables, making it easy to access and query shared datasets in a multi-tenant environment.

Other choices, while relevant in different contexts, do not inherently provide the same level of functionality and support for Delta Share principles. Cloud databases might facilitate storage and access but do not offer the transaction consistency and versioning that Delta Lake brings. Local storage units and backup servers do not inherently provide the necessary structures for data sharing as described by Delta Share, focusing more on data storage and redundancy rather than the architectural features needed for flexible and secure data sharing.