BigQuery to Google Sheets - A Better Alternative to Connected Sheets
👉 Get started free with OWOX Data Marts: https://c.owox.com/cnr8yt
BigQuery is already connected to Google Sheets — so you might be wondering: why do
you even need OWOX Data Marts?
Here's the problem: native BigQuery → Sheets connections are raw, ad-hoc, and
ungoverned. There's no schema documentation, no stable metric definitions, no
scheduling logic, and no way to reuse the same query across 10 different reports
without copy-pasting SQL everywhere.
When your team copies the same SQL into 12 different Sheets tabs and each one
calculates revenue slightly differently — that's not reporting. That's a liability.
In this video, I'll show you the right way: put a governed, reusable Data Mart layer
between BigQuery and Google Sheets, then automate refreshes so your Sheets are always
up to date, documented, and consistent.
By the end, you'll be able to:
connect BigQuery to Google Sheets through a governed Data Mart layer
build reusable Data Marts on top of your BigQuery tables using SQL, views, or
table references
define output schemas with business-friendly aliases and field descriptions
schedule automatic daily, weekly, or interval-based report refreshes
reuse the same Data Mart across Sheets, Looker Studio, and AI Insights
deliver AI-powered summaries into Slack, Microsoft Teams, Google Chat or email
This isn't a one-off connector. With OWOX Data Marts, your BigQuery → Google Sheets
setup becomes a governed reporting system that:
owns the SQL logic and metric definitions in one place
documents field meanings with aliases and descriptions visible in Sheets as column
headers and cell notes
keeps the output schema stable even when upstream BigQuery tables change
feeds multiple teams and tools from one trusted, published Data Mart
separates data engineering (BigQuery) from analytics logic (OWOX) from
consumption (Sheets)
This approach helps data and analytics teams:
stop being the human refresh button for every stakeholder
eliminate "whose number is right?" conversations across dashboards and spreadsheets
give business users self-service access to trusted data without raw table access
Who this is for:
data analysts and analytics engineers working with Google BigQuery
data teams supporting business users who live in Google Sheets
BI leads and analytics managers building scalable self-service reporting
teams tired of copy-pasted SQL, ad-hoc queries, and ungoverned Sheets connections
anyone who wants one metric definition that works across every report and team
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Timestamps:
00:00 Why reporting in spreadsheets?
01:46 What's wrong with Connected Sheets? (and what's good)
03:35 Better reporting architecture
04:07 What is a Data Mart (and what it's NOT)
05:50 What is OWOX?
08:04 1. Connect BigQuery
09:20 2. New Data Mart
11:00 3. Output schema, aliases and descriptions
12:00 4. Deliver to Google Sheets
13:01 5. Triggers and Run History
13:44 Best practices for Sheets & reporting
14:55 Next steps