Analytics/Systems
Jump to navigation
Jump to search
These subpages explain in technical detail the systems that process data for Analytics at Wikimedia Foundation. They include information about setup, maintenance, architecture, and more.
Child Pages of Analytics/Systems
AQS · Anaconda · Archiva · Clients · Cluster · DB Replica · Dashiki · Dealing with data loss alarms · Druid · EventLogging · EventStreams · Event Data retention · Event Sanitization · Exporting from HDFS to Swift · Geoeditors · Hive to Druid Ingestion Pipeline · Jupyter · Jupyter-SWAP · Kerberos · Maintenance Schedule · Managing systemd timers · Manual maintenance · MariaDB · Matomo · Presto · Refine · Reportupdater · Siege · Superset · Tier2 · Turnilo · Varnishkafka · Wikimetrics · Wikistats · Wikistats 2 · ua-parser
All Subpages of Analytics/Systems
- AQS
- AQS/Scaling
- AQS/Scaling/2016/Hardware Refresh
- AQS/Scaling/2017/Cluster Expansion
- AQS/Scaling/2020/Cluster Expansion
- AQS/Scaling/LoadTesting
- Airflow/Airflow testing instance tutorial
- Airflow/Developer guide
- Airflow/Developer guide/Python Job Repos
- Airflow/Instances
- Anaconda
- Archiva
- Clients
- Cluster
- Cluster/AMD GPU
- Cluster/Beeline
- Cluster/BrowserReports
- Cluster/Coordinator
- Cluster/Data Format Experiments
- Cluster/Data deletion and sanitization
- Cluster/Deploy/Refinery
- Cluster/Deploy/Refinery-source
- Cluster/Edit data loading
- Cluster/Edit history administration
- Cluster/Edit serving layer
- Cluster/Geolocation
- Cluster/Geotagging
- Cluster/Gobblin
- Cluster/Hadoop
- Cluster/Hadoop/Administration
- Cluster/Hadoop/Alerts
- Cluster/Hadoop/Load
- Cluster/Hadoop/Test
- Cluster/Hive
- Cluster/Hive/Alerts
- Cluster/Hive/Avro
- Cluster/Hive/Compression
- Cluster/Hive/Counting uniques
- Cluster/Hive/Queries
- Cluster/Hive/Queries/Wikidata
- Cluster/Hive/QueryUsingUDF
- Cluster/Kafka/Capacity
- Cluster/Mediawiki History Snapshot Check
- Cluster/Mediawiki history reduced algorithm
- Cluster/Mysql Meta
- Cluster/Oozie
- Cluster/Oozie/Administration
- Cluster/Page and user history reconstruction
- Cluster/Page and user history reconstruction algorithm
- Cluster/Revision augmentation and denormalization
- Cluster/Spark
- Cluster/Spark/Administration
- Cluster/System Users
- Cluster/Workflow management tools study
- DB Replica
- Dashiki
- Dashiki/Configuration
- Dealing with data loss alarms
- Druid
- Druid/Alerts
- Druid/Load test
- EventLogging
- EventLogging/Administration
- EventLogging/Architecture
- EventLogging/Backfilling
- EventLogging/Data representations
- EventLogging/EventCapsule
- EventLogging/Monitoring
- EventLogging/NotErrorLogging
- EventLogging/Outages
- EventLogging/Performance
- EventLogging/Publishing
- EventLogging/Sanitization vs Aggregation
- EventLogging/Schema Guidelines
- EventLogging/Sensitive Fields
- EventLogging/TestingOnBetaCluster
- EventLogging/User agent sanitization
- EventStreams
- Event Data retention
- Event Data retention/AppInstallId
- Event Sanitization
- Exporting from HDFS to Swift
- Geoeditors
- Hive to Druid Ingestion Pipeline
- Jupyter
- Jupyter-SWAP
- Jupyter/Administration
- Jupyter/Tips
- Kerberos
- Kerberos/UserGuide
- Maintenance Schedule
- Managing systemd timers
- Manual maintenance
- Manual maintenance/Refined flags script
- MariaDB
- Matomo
- Presto
- Presto/Administration
- Presto/Query Logger
- Refine
- Reportupdater
- Siege
- Superset
- Superset/Date functions
- Tier2
- Turnilo
- Varnishkafka
- Wikimetrics
- Wikimetrics/Adding New Features
- Wikimetrics/Adding New Features/CentralAuth Cohorts
- Wikimetrics/Adding New Features/Tag Cohorts
- Wikimetrics/Global metrics
- Wikistats
- Wikistats/Traffic
- Wikistats2/Metrics/FAQ
- Wikistats 2
- ua-parser
- ua-parser/2019-09-18 Update