5cb33ce78a
* Initial Implementation of Adding Status and Reviewers to assets for workflows * Update generated TypeScript types * Copilot Review Comments Addressed * Removed DataProduct Reviewer Inheritance as it is irrelevant * Commit: Classification has status and reviewers, DataContract uses the same status enums, changed the logic to be APPROVED instead of Active, DataContract can have null status as seen in tests, Changed Workflow to use workflowStatus instead of status as it is contradicting with the approval status, Fixed Tests * Default for reviewers is null * Default for reviewers is createSchema * Addressed CoPilots comments * Update generated TypeScript types * Workflow status to workflowStatus in db and migrations * Revert "Workflow status to workflowStatus in db and migrations" This reverts commit 676e8789358654bc6f980f855c372f33c22fc40b. * Changed status to entityStatus in the schema files * Java Implementation of Default Status, Search Client improvements and Test fixes and new tests * Adding entityStatus and reviewers in the searchIndex mappings and common attributes * Data Migration scripts to change the glossaryTerm and dataContract structure * Update generated TypeScript types * Fixed zh/spreadsheet index json error * Fix Postgre migration script * Changed the entityStatus.json to status.json Removed the duplicates of entityStatus in the indexMapping Modified the sample data to take in EntityStatus.Approved instead of ContractStatus.Active * Update generated TypeScript types * dummy commit * Fix UI Build Issues with the New EntityStatus Fix py tests * Migrations for all the entities that need entityStatus * Update generated TypeScript types * Removed Post Migration scripts * Fix UI and py for entityStatus * Update generated TypeScript types * Fix: DataContractResourceTest * Fix UI and py for importing entityStatus * UI to show and fetch Reviewers * cleanup * Removed Overridden SetDefaultStatus in GlossaryTermRepository * Removed unnecessary validation * Added entityStatus in search_entity_index_mapping.json * Fixed DataContractResourceTest * mvn spotless apply and fix migration scripts * fix tests * fix type error * fix advanced search tests * Status comparison using enums and supportsStatus to supportsEntityStatus * mvn spotless apply * fix merge conflict * update entity status * fix tests --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Karan Hotchandani <33024356+karanh37@users.noreply.github.com> Co-authored-by: karanh37 <karanh37@gmail.com>
Empower your Data Journey with OpenMetadata
What is OpenMetadata?
OpenMetadata is a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column level lineage, and seamless team collaboration. It is one of the fastest-growing open-source projects with a vibrant community and adoption by a diverse set of companies in a variety of industry verticals. Based on Open Metadata Standards and APIs, supporting connectors to a wide range of data services, OpenMetadata enables end-to-end metadata management, giving you the freedom to unlock the value of your data assets.
Contents:
OpenMetadata Consists of Four Main Components:
- Metadata Schemas: These are the core definitions and vocabulary for metadata based on common abstractions and types. They also allow for custom extensions and properties to suit different use cases and domains.
- Metadata Store: This is the central repository for storing and managing the metadata graph, which connects data assets, users, and tool-generated metadata in a unified way.
- Metadata APIs: These are the interfaces for producing and consuming metadata, built on top of the metadata schemas. They enable seamless integration of user interfaces and tools, systems, and services with the metadata store.
- Ingestion Framework: This is a pluggable framework for ingesting metadata from various sources and tools to the metadata store. It supports about 84+ connectors for data warehouses, databases, dashboard services, messaging services, pipeline services, and more.
Key Features of OpenMetadata
Data Discovery: Find and explore all your data assets in a single place using various strategies, such as keyword search, data associations, and advanced queries. You can search across tables, topics, dashboards, pipelines, and services.
Data Collaboration: Communicate, converse, and cooperate with other users and teams on data assets. You can get event notifications, send alerts, add announcements, create tasks, and use conversation threads.
Data Quality and Profiler: Measure and monitor the quality with no-code to build trust in your data. You can define and run data quality tests, group them into test suites, and view the results in an interactive dashboard. With powerful collaboration, make data quality a shared responsibility in your organization.
Data Governance: Enforce data policies and standards across your organization. You can define data domains and data products, assign owners and stakeholders, and classify data assets using tags and terms. Use powerful automation features to auto-classify your data.
Data Insights and KPIs: Use reports and platform analytics to understand how your organization's data is doing. Data Insights provides a single-pane view of all the key metrics to reflect the state of your data best. Define the Key Performance Indicators (KPIs) and set goals within OpenMetadata to work towards better documentation, ownership, and tiering. Alerts can be set against the KPIs to be received on a specified schedule.
Data Lineage: Track and visualize the origin and transformation of your data assets end-to-end. You can view column-level lineage, filter queries, and edit lineage manually using a no-code editor.
Data Documentation: Document your data assets and metadata entities using rich text, images, and links. You can also add comments and annotations and generate data dictionaries and data catalogs.
Data Observability: Monitor the health and performance of your data assets and pipelines. You can view metrics such as data freshness, data volume, data quality, and data latency. You can also set up alerts and notifications for any anomalies or failures.
Data Security: Secure your data and metadata using various authentication and authorization mechanisms. You can integrate with different identity providers for single sign-on and define roles and policies for access control.
Webhooks: Integrate with external applications and services using webhooks. You can register URLs to receive metadata event notifications and integrate with Slack, Microsoft Teams, and Google Chat.
Connectors: Ingest metadata from various sources and tools using connectors. OpenMetadata supports about 84+ connectors for data warehouses, databases, dashboard services, messaging services, pipeline services, and more.
Try our Sandbox
Take a look and play with sample data at http://sandbox.open-metadata.org
Install and Run OpenMetadata
Get up and running in a few minutes. See the OpenMetadata documentation for installation instructions.
Documentation and Support
We're here to help and make OpenMetadata even better! Check out OpenMetadata documentation for a complete description of OpenMetadata's features. Join our Slack Community to get in touch with us if you want to chat, need help, or discuss new feature requirements.
Contributors
We ❤️ all contributions, big and small! Check out our CONTRIBUTING guide to get started, and let us know how we can help.
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A HUGE THANK YOU to all our supporters!
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License
OpenMetadata is released under Apache License, Version 2.0