Most commercial databases are relational and use SQL to query the data. Often, however, data is not relational. Indeed, data scientists often deal with matrices instead of relations. A counterpart of SQL for the matrices and tensors is therefore needed, and initial  progress has been reported [1].

Various projects are possible on this subject, ranging from theory-oriented projects aimed at studying the expressivity and normal forms to implementation-oriented projects aimed at implementation and translations from (fragments of) existing languages like numpy or R.

[1] R. Brijder, F. Geerts, J. Van den Bussche, and T. Weerwag, MATLANG: Matrix operations and their expressive power. ACM SIGMOD Record, v. 48, 60-67, 2019. https://doi.org/10.1145/3371316.3371331