Aniket Katkar e4c10bc401
Day 1: Service insights and agents tab improvements and bug fixes (#20294)
* update the service data insights charts to give percentage data

* fix the quey_cost_record_search_index not found error

* Fix java checkstyle

* Refactor Service Insights Tab and Widgets for Enhanced Data Visualization

- Updated ServiceInsightsTab to utilize new date utility functions for fetching chart data.
- Modified chart data structure to include percentage changes and current percentages.
- Enhanced PlatformInsightsWidget to display percentage values and improved tooltip functionality.
- Added new styles for better layout and responsiveness in TotalDataAssetsWidget.
- Removed unused SERVICE_INSIGHTS_CHART constant and integrated its logic directly into the fetching process.
- Introduced new enums for additional chart types in DataInsight.

This refactor aims to improve the clarity and usability of the service insights data presentation.

* Localization changes

* Fix the platform insights chart colors

* Make the insights tab as default for service details page

* Enhance Ingestion Component and List Table

- Added logic to conditionally render search dropdowns based on the selected sub-tab in the Ingestion component.
- Increased column widths for 'type', 'count', and 'action' in the IngestionListTable for better visibility.
- Adjusted scroll width in the IngestionListTable to accommodate new column sizes.
- Updated styles in metadata-agents-widget.less to ensure vertical alignment of table cells.
- Modified applicationAPI to include agentType in the application list parameters.
- Enhanced router utility to support sub-tab routing.

These changes aim to improve the user experience and layout of the Ingestion settings.

* Fix the playwright failures

* Fix the playwright tests

* fix notification alert flakiness

* Fix metadata agents table header styling

* localization changes

* Fix the flaky test
2025-03-18 11:17:24 +01:00
2025-03-17 08:34:15 +01:00
2022-10-19 11:39:14 +05:30
2025-03-10 10:09:29 +05:30
2025-03-12 22:32:12 +05:30
2021-08-04 06:23:29 +00:00
2021-08-01 14:27:44 -07:00
2021-08-01 14:27:44 -07:00
2025-03-12 23:25:30 +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.

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.

Don't want to miss anything? Give the project a 🚀

A HUGE THANK YOU to all our supporters!

Stargazers

Stargazers of @open-metadata/OpenMetadata repo

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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