docs/content/concepts/compute-to-data.md

title	description	slug	section
Compute-to-Data	Providing access to data in a privacy-preserving fashion	/concepts/compute-to-data/	concepts

Quick Start

• Compute-to-Data example

Motivation

The most basic scenario for a Publisher is to provide access to the datasets they own or manage. However, a Publisher may offer a service to execute some computation on top of their data. This has some benefits:

• The data never leaves the Publisher enclave.
• It's not necessary to move the data; the algorithm is sent to the data.
• Having only one copy of the data and not moving it makes it easier to be compliant with data protection regulations.

This page elaborates on the benefits.

Further Reading

• Compute-to-Data architecture
• Tutorial: Writing Algorithms
• Tutorial: Set Up a Compute-to-Data Environment
• Use Compute-to-Data in Ocean Market
• Build ML models via Ocean Market or Python
• Compute-to-Data Python Quickstart
• (Old) Compute-to-Data specs (OEP12)