data-mesh

A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way 🌰

Template to deploy the Data Management Zone of the Data Management & Analytics Scenario (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.

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.

A Data Mesh prototype built on Confluent Cloud

Squirrel dataset hub

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+.

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 Golang.

Guide to data platforms and tools

Proof of concept on how to gain insights with Trino across different databases from a distributed data mesh

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.

Ondat Helm charts.

Ondat documentation content.

A self-contained dbt project for showcasing the capabilities of the dbt-trino adapter

MicroK8s Add-on for Ondat.

Open source Architecture for software projects