Sync data from
Google BigQuery to Slack
Connect your data from Google BigQuery to Slack with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.
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Integrate your data in 3 easy steps
Add your source and destination
Connect to 15+ data sources, like Google BigQuery, and 140+ destinations, like Slack.
Define your model
Use SQL or select an existing dbt or Looker model.
Sync your data
Define how fields from your model map to Slack, and start syncing.
Model your Google BigQuery data using any of these methods
dbt Model Selector
Sync directly with your dbt models saved in a git.
Query using looks. Hightouch turns your look into SQL and will pull from your source.
Create and Edit SQL from your browser. Hightouch supports SQL native to Google BigQuery.
Select available tables and sheets from Google BigQuery and sync using existing views without having to write SQL.
For less technical users, pass traits and audiences from Google BigQuery using our visual segmentation builder.
Does this integration support in-warehouse planning?
Yes, if you integerate Google BigQuery and Slack using Hightouch, in-warehouse planning is supported.
Great, but what is in-warehouse planning?
Between every sync, Hightouch notices any and all changes in your data model. This allows you to only send updated results to your destination (in this case Slack). With the baseline setup, Hightouch picks out only the rows that need to be synced by querying every row in your data model before diffing using Hightouch’s infrastructure.
The issue here is this can be slow for large models.
Warehouse Planning allows Hightouch to do this diff directly in your warehouse. Read more on how this works here.
Why is it valuable to sync Google BigQuery data to Slack?
Data platforms like Google BigQuery are designed to help you consolidate all your data across your disparate data sources into a centralized platform so you can transform, model, and consume it through a dashboard or report.
The problem is that Google BigQuery is typically only accessible to technical users who know how to write SQL, and dashboards are quickly forgotten; they don't help you take action on your data. You spend a lot of money getting your data into Google BigQuery, so there's no reason for it just to sit there rotting away in a dashboard.
- Your customer success teams want to know when tickets come in and how to prioritize them
- Your sales team wants to know when a new user signs up and when an account's product usage exceeds your plan limits
- Your finance team wants to be notified when invoices are overdue, or payments fail
You need to take action on key events as they happen. However, gathering this information requires your business teams to hop back and forth between your various SaaS applications.
When you analyze your data in a dashboard, your business teams can only react. When you sync data from your warehouse to Slack, you enable your teams to be proactive. For example, a dashboard showing which customers have churned over the last six months is not very useful. However, if you notify your sales and customer success teams in Slack every time an account is at risk of churning, you can take action immediately.
Why should you use reverse ETL to connect Google BigQuery and Slack data?
Many tools integrate with Slack, but not using your warehouse to power your notifications creates a complex web of point-to-point pipelines for every tool in your technology stack. In addition to this, you're limited to the data that exists within that platform, and in many cases, you need to join data from across your company to define specific events, and this is only possible in Snowflake.
When you leverage your Snowflake to power your notifications, you have the complete flexibility and familiarity of SQL. You can easily define your events and models and choose precisely how you want them to appear in Slack.
With Reverse ETL, you can customize your notification content in a single platform and choose how and where your messages appear. You can define complex notification triggers using SQL, and you can build interactive messages using powerful frameworks that you're already comfortable with. Hightouch even lets you take advantage of your existing data models. For example, if you have a lead scoring model in your warehouse, you can notify your sales reps once a specific lead reaches you and route it based to the appropriate person based on the criteria that you define.
Rather than building individual Slack messages in each of your tools and worrying about the consistency of your data, Hightouch lets you take advantage of the data that already exists in Snowflake and sync it to your destination in real time.
With reverse ETL, you can define everything in a single platform.
Receive a Slack notification when your business metrics change
Get notified in Slack when users complete certain actions
Power ops workflows by syncing data to Slack to notify relevant parties
About Google BigQuery
BigQuery is a fully-managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.Learn more about Google BigQuery
Slack is a business communication platform where people can work together more effectively, connect all their software tools and services, and find the information they need to do their best work — all within a secure, enterprise-grade environment.Learn more about Slack
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