Home of the Open Data Contract Standard (ODCS).
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Updated
May 25, 2024 - Shell
Home of the Open Data Contract Standard (ODCS).
The Proxima platform.
Template to deploy a single Data Landing Zone of the Data Management & Analytics Scenario (former Enterprise-Scale Analytics). The Data Landing Zone is a logical construct and a unit of scale in the architecture that enables data retention and execution of data workloads for generating insights and value with data.
The Data Product Descriptor Specification (DPDS) Repository
A platform to manage the data product life cycle
ODD Specification is a universal open standard for collecting metadata.
🌀 Rapidly build rich data portals using a modern frontend framework
Create Data Mesh. Use interoperable digital twins to create data interactions and build powerful real-time data products. This repository contains protocol buffers specification for Iotics API.
A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way 🌰
Low-code Python library enabling access to APIs, tools, data sources in seconds.
POC to demonstrate how to alter incoming/outgoing records in Kafka. It's a toy, don't use it in production.
This is a repo designed to show the workflow of a data contract, with pre-commit hooks and GitHub Actions on how to have the contract power a data platform
A Postgres interface into any database
An Git-like version control file system for data lineage & data collaboration.
Template for a data contract used in a data mesh.
The Governance Decision Record (GDR) is a specification model for (computational) data governance policies inspired from the ADR (Architectural Decision Record).
Create Data Mesh. Use interoperable digital twins to create data interactions and build powerful real-time data products. This repository is a library for Decentralised Identity (DID) management with Iotics for applications in Golang.
3D Human Generation With Mesh From 2D Images
A complete data product project used to study concepts related to data enginerring such as modeling, collection, operations and so on.
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