New to Interana? Start by reading the guides:
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What's new in the latest release? |
Learn about dashboards and how to build a simple query |
Learn how to build your own queries and named expressions |
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A set of tutorials ("recipes") showing how to build queries for multiple use cases |
Learn how to install, configure, and maintain your Interana instance |
A collection of recipes for common admin tasks |
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Detailed reference information, by topic |
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Where makers and doers talk about Interana and behavioral analytics |
Terminology specific to Interana's platform and behavioral analytics |
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The basics
Advanced usage
- Calculating DAU/MAU
- Interpreting queries that use per-actor metrics
- Use relative time window metrics
- Group By Sets examples
- Advanced filter syntax reference
- Calculating user churn using relative time window metrics
- Build an activity measure
- Use the p-value and confidence intervals to analyze your data
Using the API
System admin tasks
Configuring your environment
Adding and maintaining data
- Log your data for Interana
- What to think about before adding data
- Add a shard key to an existing table
- Use the Transformer Library to transform data before ingest
- Use the Ingest wizard to add data
- Interana CLI ingest Quick Start
- Handling time formats during ingest
- Ingest a JSON file using the Ingest Wizard
- How Interana handles data types at ingest time
- Ingest file types and formats reference
- Ingest runtime architecture
- Understanding string data
- Create a colocated column
- Converting Protocol Buffers (ProtoBuf) to JSON for ingestion
- Check your data after ingest
- mParticle integration cookbook
- Segment integration cookbook
- Ingesting GIT source control history into Interana