Connector

Enable business reporting from your Databricks data

Turn your data warehouse into a real reporting library. Connected Data Marts, ready for Google Chat.

DatabricksConnected
Data MartPublishedone definition
Google ChatDaily 09:00
Refreshed on a schedule. No exports, no copy-paste.

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Hand this to your AI

Questions about Databricks numbers keep landing in Google Chat, and someone has to run a query to answer each one.

Paste this into your AI assistant. It builds a Data Mart on your Databricks tables and schedules it to a Google Chat space, so the report and a short analysis arrive before anyone has to ask.

The prompt

schedule a Data Mart on our Databricks tables to post a daily KPI report with a short analysis to our team's Google Chat space every morning at 9:00

S01 · Step 1

Start from your Databricks data

Pick the Databricks catalog and schema that hold the data your Google Chat reports are built on.

  • Nothing to move or copy: your Delta tables stay in Databricks.
DatabricksYour data warehouseCatalogmainSchema
Unified Ad SpendConnected dataNothing to move or copy

S02 · Step 2

Build a reporting library in Databricks

Each Data Mart is a ready report over your Databricks tables, described by AI, and joins to other Data Marts through the data model.

  • Business users browse reports, not tables.
Data martsUnified Ad SpendAISessionsAI
Unified Ad SpendData modelplatform_roas · platform_cpa
Unified Ad Spend + Sessions
SessionsJoined by a shared key

S03 · Step 3

Send Databricks reports to Google Chat

Schedule a Data Mart to a Google Chat space daily, weekly or on a condition. The message carries the report and a short analysis under it.

  • Reports reach the space where the team already talks.
Google ChatScheduledWeekly paid media reportcostInUsdclicksimpressionsAnalysisOne platform stands out on cost per acquisition.ROAS and spend together show where budget is working.Check ROAS first on the platform that spends the most.

S04 · Step 4

Keep Google Chat connected to the same data

Ask in Claude, export to a sheet, share with the boss.

  • One source, every tool.
Unified Ad SpendOne source
ClaudeAsk in chat
Google SheetsExport to a sheet
Your bossShare the answer

Recent updates

Why OWOX

Why OWOX for Databricks and Google Chat

Google Chat gets reports built on governed Data Marts on Databricks, with the numbers calculated in SQL first.

  • You own the data. Your data lives in your own Databricks lakehouse; each message is built from a governed Data Mart on it.
  • Defined once in SQL. Analysts define metrics on your Delta tables once; every Data Mart and every destination reuses them.
  • Native to Google Workspace. Insights reach the space where a Google Workspace team already talks.
  • SQL first, AI second. Every insight starts with a number calculated in SQL, then narrated in plain language.
  • On your schedule. Daily, weekly or conditional delivery to a Google Chat space.

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