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Getting Started

  • Overview

Sifflet Academy

  • Sifflet's glossary
  • How to navigate through Sifflet's interface
    • Dashboard
    • Catalog
    • Monitoring
    • Incidents
  • How to set up and run your first rules
    • Auto-Coverage
    • One-rule setup
    • Time parameters
    • Set up notifications
    • Run a rule manually
  • Tips for structuring your workspace
    • Bookmarks
    • Tags
  • How to describe data assets
  • How to look for a specific object
  • How to utilise an incident

Advanced concepts

  • Catalog
    • Bulk import metadata
    • Asset usage
  • Lineage
    • Field-level lineage
  • Monitoring
    • Scheduling
    • Feedback loop
    • Model sensitivity
    • Hourly granularity
    • Data quality rules library

Full Data Stack Integrations

  • Integrations setup
  • Data warehouses
    • BigQuery
    • Snowflake
    • Redshift
    • Firebolt
    • Postgres
  • dbt
    • dbt Cloud
    • dbt Core
  • Airflow
    • Airflow custom operators
  • BI tools
    • Looker
    • Tableau
    • Power BI
    • QuickSight

Settings

  • Tags
  • Users
  • Domains
  • Single Sign-On (SSO)
    • Okta
    • Google SSO
  • Alerts Destinations
    • Email
    • Microsoft Teams
    • Slack

Developers

  • Generate an API Token
  • Flow stopper
    • Examples
  • Sifflet CLI - Command Line Interface
    • CLI Commands Reference
    • configure
    • ingest
    • rules
    • status
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Overview

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Sifflet is a Full Data Stack Observability platform on a mission to reduce Data Entropy. Our solution can map all data dependencies across the entire life cycle of the data - from ingestion to BI tools - and make this observability actionable by ensuring accurate and reliable use of the data.

Updated 3 months ago