Firefox Data Documentation
1.
Reporting a problem
2.
Terminology
3.
Getting Started
3.1.
Analysis Quick Start
3.2.
Choosing a Desktop Dataset
3.3.
Choosing a Mobile Dataset
3.4.
Intro to STMO
3.5.
Common Analysis Gotchas
3.6.
Optimizing Queries
3.7.
Getting Help
4.
Tools
4.1.
Project Glossary
4.2.
Guiding Principles for Data Infrastructure
4.3.
Overview of Mozilla's Data Pipeline
4.3.1.
HTTP Edge Server Specification
4.3.2.
Event Pipeline Detail
4.4.
Analysis Interfaces
4.5.
Custom analysis with Spark
4.6.
SQL Style Guide
4.7.
Glean overview
4.7.1.
Accessing Glean data
4.7.2.
Glean Debug ping viewer
4.8.
Alerts
4.9.
Growth & Usage Dashboard (GUD)
5.
Analysis cookbooks
5.1.
Accessing and working with BigQuery
5.1.1.
Scheduling BigQuery Queries in Airflow
5.2.
Dataset Specific
5.2.1.
Working with Normandy events
5.3.
Real-time
5.3.1.
Seeing Your Own Pings
5.4.
Metrics
5.4.1.
Daily Active Users (DAU)
5.4.2.
Active DAU (aDAU)
5.4.3.
Retention
6.
Sending telemetry
6.1.
Implementing Experiments
6.2.
Sending Events
6.3.
Sending a Custom Ping
7.
Dataset Reference
7.1.
Pings
7.2.
Derived Datasets
7.2.1.
Active Profiles
7.2.2.
Addons
7.2.3.
Addons Daily
7.2.4.
Attitudes Daily
7.2.5.
Clients Daily
7.2.6.
Clients Last Seen
7.2.7.
Events
7.2.8.
Exact MAU
7.2.9.
First Shutdown Summary
7.2.10.
Main Summary
7.2.11.
New Profile
7.2.12.
Socorro Crash Reports
7.2.13.
SSL Ratios (public)
7.2.14.
Telemetry Aggregates
7.2.15.
Update
7.3.
Experimental Datasets
7.3.1.
Accessing Heartbeat data
7.3.2.
Accessing Shield Study data
7.4.
Search Datasets
7.4.1.
Search Aggregates
7.4.2.
Search Clients Daily
7.5.
Other Datasets
7.5.1.
hgpush
7.5.2.
Stub installer ping
7.5.3.
Activity Stream
7.5.4.
bmobugs
7.6.
Firefox Accounts Datasets
7.6.1.
Firefox Account Attribution
7.6.2.
Firefox Account Funnel Metrics
7.6.3.
Firefox Account Email Metrics
7.7.
Static Datasets
7.7.1.
Normalized OS Names And Versions
8.
Telemetry Behavior Reference
8.1.
History of Telemetry
8.2.
Profile Behavior
8.2.1.
Profile Creation
8.2.2.
Real World Usage
8.2.3.
Profile History
8.3.
Channel Behavior
8.3.1.
Channel Normalization and Querying
8.4.
Census metrics
8.5.
Engagement metrics
8.6.
Sampling
9.
Historical Reference
9.1.
Previous AWS Pipeline Overview
9.2.
In-depth AWS Data Pipeline Detail
9.3.
Obsolete Datasets
9.3.1.
Churn
9.3.2.
Client Count
9.3.3.
Client Count Daily
9.3.4.
Crash Aggregates
9.3.5.
Crash Summary
9.3.6.
Error Aggregates
9.3.7.
Heavy Users
9.3.8.
Longitudinal
9.3.9.
Retention
9.3.10.
Sync Summary
10.
About this Documentation
10.1.
Contributing
10.2.
Structure
Light (default)
Rust
Coal
Navy
Ayu
Firefox Data Documentation
Profile behavior
Profile Creation
Real World Usage
Profile History