January 24, 2024
Get Started with Bruinen Self-Serve
Bring together your organization's distributed data and build better with Bruinen.
Getting Started with Bruinen
A Guided Tour
If you're looking for a way to quickly combine your organization's distributed data to create robust applications on your data sources, seamlessly connect to any API, and efficiently automate operations, Bruinen has got you covered. In this post, I'll walk through the basics of how to use Bruinen to create a unified data model and start exploring your information.
Setting Up Your Account
The first step is to head over to Bruinen and sign up for a free account. This will prompt you to enter some basic details about your organization. Once your account is approved, you'll be able to start using the platform.
Connecting Data Sources
Bruinen allows you to connect to various databases and analytics tools where your data resides. Currently supported sources include Snowflake, Postgres, MySQL, and more.
To add a data source, go to the "Sources" page and select the type of database you want to connect to. Enter the database URL and any additional configuration options. Your tables will now be visible within Bruinen.
Objects are how Bruinen models real-world entities from your data. To create an object, go to the "Ontology" page and select "New Definition". Choose a dataset and map its fields to properties.
You can customize object styles, set a title field, and more. These "blueprints" are how your data will be represented to users. Any rows from that dataset will now appear as instances of that object type.
Often your data is connected across multiple sources. Bruinen lets you define relationships between objects so users can navigate these connections. On the "Relations" page, link two objects together and specify the fields that join them. Now instances can be explored within the context of related data.
Analyzing with Workbooks
Workbooks in Bruinen allow chaining transformation, filtering, and aggregation steps to derive insights from objects and relations.
Build workbooks to explore questions about your data. The steps are fully editable and shareable. Output can be visualized in interactive charts and tables.
And that's the basics of the Bruinen workflow! Reach out to email@example.com if you have any other questions about modeling your enterprise data and enabling self-service analytics.