Share Serverless SQL Warehouse
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As a data lakehouse, Phiona can expose datasets to external analytics, business intelligence and SQL query tools right out of the box.
To expose the entire project as a set of data tables, you'll click on the "SQL Warehouse" tab on the top of your project page. Exposing all datasets (regardless of whether they're raw or transformed data) makes each dataset available for query or BI connection, and disables the ability to only expose individual SQL datasets within the project.
From there, click the slider button to enable the project as a SQL warehouse.
From there, you'll see your connection details for the SQL warehouse to plug in to your analytics programs (listed in the following sections).
AWS Quicksight -
Cumul.io -
Domo -
Holistics -
Looker -
Mode -
PopSQL -
PowerBI -
Redash -
Retool -
Tableau -
Zoho -
Apache Superset -
Google Data Studio -
Grafana -
Jupyter Notebooks -
Metabase -
R Studio -