Delta Lake introduced Delta Universal Format (Delta UniForm) , which allows seamless interoperability between Delta Lake and Apache Iceberg . This means a Delta table can be converted into an Iceberg table while maintaining Delta capabilities .

Explanation of Each Option:

(A) Require the analytics team to use a tool that supports Delta table

Incorrect: While Delta Lake is widely used, requiring the team to change tools is not a flexible or scalable solution .

(B) Enable uniform on the transactions table to ' iceberg ' so that the table can be read as an Iceberg table

Incorrect:

The uniform feature must be enabled after conversion .

You cannot directly enable uniform without first converting the table .

(C) Create an Iceberg copy of the transactions Delta table which can be used by the analytics team

Incorrect:

Creating a separate Iceberg copy would duplicate storage and increase maintenance complexity .

This is not necessary when Delta UniForm allows direct compatibility with Iceberg .

(D) Convert the transactions Delta table to Iceberg and enable uniform so that the table can be read as a Delta table

Correct:

The best approach is to convert the existing Delta table to Iceberg using the Databricks Delta to Iceberg migration tools .

After conversion, enabling uniform ensures the table remains accessible in both Delta and Iceberg formats .

Conclusion:

The best practice for interoperability between Delta and Iceberg is to convert the Delta table to Iceberg and enable uniform , ensuring cross-compatibility without data duplication.

Thus, Option (D) is the correct answer .