There are 10 repositories under data-mesh topic.
Template for a data contract used in a data mesh.
A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:
Home of the Open Data Contract Standard (ODCS).
Template to deploy the Data Management Zone of Cloud Scale Analytics (former Enterprise-Scale Analytics). The Data Management Zone provides data governance and management capabilities for the data platform of an organization.
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.
ODD Specification is a universal open standard for collecting metadata.
Template to deploy a Data Product for analytics and data science use-cases into a Data Landing Zone of the Data Management & Analytics Scenario (former Enterprise-Scale Analytics). The Data Product template can be used by cross-functional teams to create insights and products for external users.
A Data Mesh proof-of-concept built on Confluent Cloud
POC to demonstrate how to alter incoming/outgoing records in Kafka. It's a toy, don't use it in production.
The Data Product Descriptor Specification (DPDS) Repository
Low-code Python library enabling access to APIs, tools, data sources in seconds.
Squirrel dataset hub
Template to deploy a Data Product for Batch data processing into a Data Landing Zone of the Data Management & Analytics Scenario (former Enterprise-Scale Analytics). The Data Product template can be used by cross-functional teams to ingest, provide and create new data assets within the platform.
Template to deploy a Data Product for data stream processing into a Data Landing Zone of the Data Management & Analytics Scenario (former Enterprise-Scale Analytics). The Data Product template can be used by cross-functional teams to ingest, provide and create new data assets within the platform.
Guide to data platforms and tools
Interesting links I saw, every week
The Proxima platform.
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 Python v3.8+.
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.
The Governance Decision Record (GDR) is a specification model for (computational) data governance policies inspired from the ADR (Architectural Decision Record).
Proof of concept on how to gain insights with Trino across different databases from a distributed data mesh
A platform to manage the data product life cycle
A Postgres interface into any database
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 complete data product project used to study concepts related to data enginerring such as modeling, collection, operations and so on.
Ondat documentation content.
A self-contained dbt project for showcasing the capabilities of the dbt-trino adapter
3D Human Generation With Mesh From 2D Images
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 template for building TypeScript + gRPC service