Connecting to your data¶
To visualize your data, download ChartFactor Studiop Desktop. When opened the first time, you should see the following page:
Now, select the NEW button to create a new dashboard application. When creating your first application, you should see the following page:
You can connect to your own data engine using the page above.
ChartFactor Studio Desktop supports the following data engines:
- ChartFactor Node
- Databricks
- Dremio
- Elasticsearch
- Google BigQuery
- Redshift and Postgres
- Snowflake
- Spark SQL
If you don't have any of these engines available, refer to the Uploading files section to upload your data to ChartFactor Studio Desktop's local repository.