Keep shared truth, true
A home for all shared data logic
Use a metric: we make sure it is right
Put a metric in a Tableau dashboard, a Jupyter notebook or just in an SQL VIEW. Honeydew makes sure it is the same everywhere with a shared source of truth.
Build on a Metric: we update the data flows
Create reusable definitions of data sources and metrics. Honeydew maintains the relationships and the data transformations to support them.
1. Data Engineering
Map your source data and relations to granular entities, such as orders or events.
- Existing Tableau data sources
- Existing ETL queries
2. Data Analysts
Define logic elements such as metrics or attributes with SQL snippets.
3. Data Team
Establish domain-specific “worlds” of curated metrics and entities for data users.
1. Data Engineering
Map your source data and relations to granular entities, such as orders or events.
2. Data Analysts
Define logic elements such as metrics or attributes with SQL snippets.
3. Data Team
Establish domain-specific “worlds” of curated metrics and entities for data users.
Access from any tool
Have the shared truth in all your favorite tools. Consume it with SQL or BI, use it in an ETL or directly in the data warehouse.
