No-Code Data Export from Harbr: A Guide for Business Users

This video demonstrates how business users can export data from the Harbr platform and deliver it to their preferred destination — without any coding or technical expertise required.

It walks through the full self-service export workflow: selecting a data asset, customising the export name, description, and file format, and subsetting the data by filtering specific columns and rows to export only what's needed. The example used is a fixed income pricing dataset.

The video also covers how to configure recurring exports, with the option to schedule automatic runs or trigger exports whenever the underlying data product is refreshed. It then shows how to set an export destination — in this case a BigQuery connector — and configure email notifications to alert users when an export completes successfully or fails. Other connectors are available, including AWS S3, GCP, Azure, Databricks, Snowflake, and many more.

This video is relevant for data consumers, business analysts, and data teams who need a flexible, no-code way to extract, customise, and route data products into their existing tools and workflows.