Working with Bold Data Hub in Bold Reports
Overview
The primary objective of the Bold Data Hub application is to facilitate the extraction, transformation, and loading of data from diverse sources such as PostgreSQL, MSSQL, MySQL, Oracle, Google BigQuery, Snowflake, and Apache Doris databases. We can conveniently schedule recurring jobs to retrieve data from these sources and utilize SQL scripts for data transformation purposes.
Integrated Bold Data Hub Architecture
For Windows OS, Python 3.9 version is required along with Bold Reports for Bold Data Hub. If Python 3.9 version is already installed, please specify the Python path in {Drive}:\BoldServices\etl\etlservice\appsettings.json and restart the app in IIS server.
"PythonPath": "<Drive>:\\BoldServices\\Python39"Using the Bold Data Hub Application In Bold Reports
To access the Data Hub site, click the Data Hub icon displayed on the page. The site opens in a new tab, displaying the homepage as shown in the image.
Important: Bold Reports and Bold Data Hub applications can be accessed using the same login credentials, as they are integrated with our Identity Provider (IdP).
This section explains how to work with projects, schedule jobs, and create Bold Reports data sources.
For more details on working with Bold Data Hub, click here for further information.