Aniket Katkar f3e90827d6
Improvements: Implement the workflow status based placeholders for platform insight widget (#20369)
* Implement the workflow status based placeholders for PlatformInsights widget

* Add the workflow status banner

* feat(ui): enhance ingestion components with collate agent functionality

- Added support for loading and displaying collate agents in the Ingestion component.
- Updated Ingestion interface to include new props for collate agent management.
- Implemented loading state for ingestion runs and collate agents in IngestionListTable and IngestionRecentRuns components.
- Integrated pagination handling for collate agents in ServiceDetailsPage.
- Improved rendering of pipeline types in IngestionListTable utility functions.

* feat(ui): enhance Ingestion component with agent counts display

- Added agentCounts prop to Ingestion component to display counts for collate agents and metadata.
- Updated Ingestion interface to include agentCounts.
- Modified ServiceDetailsPage to compute and pass agentCounts to Ingestion.
- Improved rendering of sub-tab options in Ingestion component to utilize agent counts.

* feat(ui): update SVG assets and enhance error handling in Service Insights

- Modified existing SVG assets for improved rendering and added new icons: key-hand, no-tier, and security-safe.
- Enhanced AssetsTabs component to utilize updated placeholder icons for no data scenarios.
- Updated TotalDataAssetsWidget to display a custom error placeholder when no records are found.
- Introduced a new utility function to determine the appropriate placeholder icon based on chart type.
- Added a new CSS class for text color styling.

* feat(ui): add refresh functionality to Ingestion component

- Introduced a refresh button in the Ingestion component to reload the agents list.
- Updated Ingestion interface to include a new prop for the refresh function.
- Enhanced ServiceDetailsPage to implement the refresh logic for different agent types.
- Added styling for the refresh button icon in the associated LESS file.

* localization changes

* feat(ui): refactor ingestion components for improved status handling and styling

- Moved query parameter definitions into relevant functions for better encapsulation in IngestionListTable and IngestionRecentRuns components.
- Updated styling for ingestion status badges to enhance visual clarity and consistency.
- Introduced new color variables for improved theming in LESS files.
- Added a delay mechanism for fetching pipeline status in MetadataAgentsWidget to account for service response times.

* Fix the duplicate variables

* Fix the less variable

* Add large table icon and update placeholder icons in Service Insights

- Introduced a new SVG icon for large tables.
- Updated placeholder icons in AssetsTabs and TotalDataAssetsWidget components to use the new icon.
- Changed the color class for placeholder icons from 'text-grey-8' to 'text-grey-14'.
- Refactored the getServiceInsightsWidgetPlaceholderIcon function to accept additional parameters for customization.

* Implement the placeholder messages for service insight widgets

* add the remaining widget descriptions for service insights

* Fix the unit tests

* localization changes

* Fix the app status not showing properly on the external apps logs page

* add createdBy field in test case results

* Fixed sonar issues

---------

Co-authored-by: ulixius9 <mayursingal9@gmail.com>
2025-03-26 00:12:27 +05:30
2025-03-24 17:54:28 +01:00
2025-03-10 10:09:29 +05:30
2025-03-19 12:04:28 +05:30



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Empower your Data Journey with OpenMetadata

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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 75+ 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.

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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.

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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.

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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.

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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.

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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 75+ connectors for data warehouses, databases, dashboard services, messaging services, pipeline services, and more.

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Take a look and play with sample data at http://sandbox.open-metadata.org

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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.

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License

OpenMetadata is released under Apache License, Version 2.0

Description
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.
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