Data Platform/AQS

Data Platform

Discover data

• Explore datasets in DataHub
• Data Lake
  • Traffic data
  • Edits data
  • Content data
  • Events data
• Analytics Query Service (AQS)

Access, query, and analyze data

• Get access to internal data
• Analytics tools
  • Jupyter notebooks
  • Superset
  • Spark
  • Presto
• Quickstart notebook
• Internal API requests

Transform and publish data

• Get help or file a request
• Plan data lifecyle
• Build tables and datasets
  • Dataset creation process
  • Data modeling guidelines
  • Airflow developer guide
  • Hive
  • Iceberg
  • Druid
• Share data and dashboards
  • Data publication guidelines
  • Turnilo
  • Superset
  • analytics.wikimedia.org
  • Web publication guide
  • Dashiki
• Manage published data
  • Data Incident management
  • Data Issue reporting
  • Data Retention Guidelines
  • Event data retention
  • Event Sanitization
  • Dataset archiving and deletion

Collect data

• Metrics platform
• Instrumentation tutorial
• Event Platform

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Data Platform infrastructure and operations

• Systems overview
• Data pipelines
• Search
  • Using search for new features
  • Search Platform
  • Wikidata Query Service (WDQS)
• Operations and team processes
  • Ops week
  • Team pages on Wikitech
  • Team and project pages on MediaWiki.org

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Analytics Query Service (AQS) is a set of services that provide public-facing APIs that serve analytics data about Wikimedia projects, such as page views, unique devices, and editor counts. AQS APIs provide the data behind Wikistats (stats.wikimedia.org).

• Maintained by mw:Data Platform Engineering/Data Products

• Issue tracker: Phabricator (Report an issue)

User documentation

To use the AQS APIs, see the Wikimedia Analytics API documentation.

Maintainer documentation

For information about the AQS services, see Data Platform/Systems/AQS.

Studies and data analyses

• Commons Impact Metrics
• Media metrics
• Media requests limitations
• Vetting media request metrics
• Pageviews per project
• Vetting data per project
• Vetting data per project family