Ecosyste.ms: Awesome

https://github.com/Azure/data-product-batch

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.

architecture arm azure bicep data-fabric data-integration data-mesh data-platform data-product enterprise-scale enterprise-scale-analytics policy-driven

Last synced: 21 Jun 2024

https://github.com/Azure/data-management-zone

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.

architecture arm azure bicep data-fabric data-mesh data-platform datamesh enterprise-scale enterprise-scale-analytics policy-driven

Last synced: 21 Jun 2024

https://github.com/Azure/ALZ-Bicep

This repository contains the Azure Landing Zones (ALZ) Bicep modules that help deliver and deploy the Azure Landing Zone conceptual architecture in a modular approach. https://aka.ms/alz/docs

alz azure azure-landing-zones azure-policy bicep enterprise-scale eslz landing-zone landing-zones

Last synced: 26 May 2024

https://github.com/Azure/Enterprise-Scale

The Azure Landing Zones (Enterprise-Scale) architecture provides prescriptive guidance coupled with Azure best practices, and it follows design principles across the critical design areas for organizations to define their Azure architecture

alz architecture arm azure azure-landing-zones azure-policy enterprise-scale eslz landing-zone landing-zones policy-driven

Last synced: 17 Apr 2024

https://github.com/Azure/data-landing-zone

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.