Get into BigQuery, read the data model, and activate SourceMedium tables in other tools.
This is the front door for warehouse work. Start with access and sm_transformed_v2, then use table docs and definitions when a number needs explaining.
SourceMedium delivers the warehouse on one of two plans. The difference is which tables land, not which numbers are right. The same models build both plans, so a metric that exists on Foundation is computed identically on Pro.
Foundation
Pro
Project
Shared BI project, with datasets prefixed by your store
On Foundation, start from the obt_* table that covers the same ground. obt_orders and obt_order_lines carry the order and line attributes the dim_* tables expose, already joined.
dim_product_variants is delivered on both plans, so a missing dimension does not by itself mean Foundation. Check the list above.
SQL examples in these docs use your_project.sm_transformed_v2. On Foundation, pick the dataset prefixed with your store name in BigQuery Explorer.
BigQuery essentials
Find your project, pick the right table, and run a first query.
Table docs
Customer-facing sm_transformed_v2 schemas.
How numbers are defined
Revenue, valid orders, reporting currency, and related rules.
SourceMedium’s Managed Data Warehouse offering helps simplify data warehouse adoption, a table-stakes
technology investment for businesses looking to establish a competitive advantage through data and advanced analytics.Once we’ve ingested data from the sources you’ve integrated, we run our transformation pipeline and deliver data into a
managed data warehouse instance that you can access directly.Through this product, you’ll get:- Data quality: We’ve collaborated with hundreds of e-commerce merchants to refine our models and decision-making frameworks to ensure our data is
accurate, reliable, and intuitive no matter the analytical use case.
We also conduct over 2,500 data quality tests daily to help enforce our quality standards.- Time to value & predictability: We streamline your data infrastructure stack so you don’t have to manage a data pipeline, build models
from the ground up, and navigate the unpredictability of billing, cost optimization, identity access management, security, performance, and more.- Future-proofing: As your data needs grow alongside your business, you’ll already have the infrastructural versatility and scalability
in place to 10x your capabilities.
While you can connect your Managed Data Warehouse to any BI tool, our base data source and report templates are a great
starting point for businesses looking to quickly gain insights without the need to build charts and tables from scratch.
These templates are designed around our pre-configured semantic layer (see OBT table description),
helping turbocharge BI developers and data analysts.Learn how to use our base data source and report templates in BI Tools.
For businesses with custom analytics needs that our out-of-the-box semantic layer doesn’t address, you can build customized models directly
in your Managed Data Warehouse.Learn how to extend SourceMedium’s models in Modeling with SourceMedium.
Was this page helpful?
⌘I
Assistant
Responses are generated using AI and may contain mistakes.