# Big data analytics

**URL:** <https://forum.scrt.network/t/big-data-analytics/2167>\
**Category:** Secret Contracts and Secret Apps\
**Created:** [October 5, 2020, 8:10am UTC](https://forum.scrt.network/t/big-data-analytics/2167 "2020-10-05T08:10:34Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![sepia](https://avatars.discourse-cdn.com/v4/letter/s/aca169/32.png) [@sepia](https://forum.scrt.network/u/sepia)\
**Post date:** [October 5, 2020, 8:10am UTC](https://forum.scrt.network/t/big-data-analytics/2167/1 "2020-10-05T08:10:34Z")

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If you think about data science/big data analytics, it might not be feasible within a secret contract (because of the computational/monetary costs). A possible solution could be to do the computation off-chain, e.g. with [Scone] ([https://sconedocs.github.io](https://sconedocs.github.io)) or [Graphene] ([https://grapheneproject.io](https://grapheneproject.io)) on sgx-enabled clouds, but to manage the keys/access within a secret contract. What are your thoughts on this? Is this a viable use case for secret contracts and has there been done any research in this direction?

This would also have the advantage to support other languages like python or R which is widely used in data science.