mirror of
https://github.com/oceanprotocol/docs.git
synced 2024-11-26 19:49:26 +01:00
f24d95a5a7
* Creating new page structure in developers section * Updating navigation * Splitting up DDO page and putting examples within details sections * Updated navigation * Updating table * GITBOOK-1: change request with no subject merged in GitBook * GITBOOK-2: change request with no subject merged in GitBook * Updating tables * Fixing services table * Updating tables * Updating algorithm page * Updating compute to data page * Updating API section * Adding the fine-grained permissions page * Adding Market-Level Permissions page * updating navigation * Updating fine grained permissions * adding information on DIDs * Updating navigation * Updating did and ddo page * GITBOOK-5: Adding video
33 lines
1.6 KiB
Markdown
33 lines
1.6 KiB
Markdown
---
|
|
title: Compute-to-Data
|
|
slug: /concepts/compute-to-data/
|
|
section: concepts
|
|
description: Providing access to data in a privacy-preserving fashion
|
|
---
|
|
|
|
# Compute-to-Data
|
|
|
|
### Quick Start
|
|
|
|
* [Compute-to-Data example](https://github.com/oceanprotocol/ocean.py/blob/main/READMEs/c2d-flow.md)
|
|
|
|
### 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](https://oceanprotocol.com/technology/compute-to-data) elaborates on the benefits.
|
|
|
|
### Further Reading
|
|
|
|
* [Compute-to-Data architecture](compute-to-data-architecture.md)
|
|
* [Tutorial: Writing Algorithms](compute-to-data-algorithms.md)
|
|
* [Tutorial: Set Up a Compute-to-Data Environment](compute-to-data-minikube.md)
|
|
* [Use Compute-to-Data in Ocean Market](https://blog.oceanprotocol.com/compute-to-data-is-now-available-in-ocean-market-58868be52ef7)
|
|
* [Build ML models via Ocean Market or Python](https://medium.com/ravenprotocol/machine-learning-series-using-logistic-regression-for-classification-in-oceans-compute-to-data-18df49b6b165)
|
|
* [Compute-to-Data Python Quickstart](https://github.com/oceanprotocol/ocean.py/blob/main/READMEs/c2d-flow.md)
|
|
* [(Old) Compute-to-Data specs](https://github.com/oceanprotocol-archive/OEPs/tree/master/12) (OEP12)
|