Export from Slack to BigQuery
CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.
The CloudQuery Slack plugin allows you to sync data from Slack to any destination, including BigQuery. It's free, open source, requires no account, and takes only minutes to get started.
Ready? Let's dive right in!
Step 1. Install the CloudQuery CLI
The CloudQuery CLI is a command-line tool that runs the sync. It supports MacOS, Linux and Windows.
brew install cloudquery/tap/cloudquery
Step 2. Configure the Slack source plugin
Create a configuration file for the Slack plugin and set up authentication.
Configuration
Create a file called slack.yaml
and add the following contents:
Fine-tune this configuration to match your needs. For more information, see the Slack Plugin ↗ page in the docs.
Authentication
Step 3. Configure the BigQuery destination plugin
Create a configuration file for the BigQuery plugin and set up authentication.
Configuration
Create a file called bigquery.yaml
and add the following contents:
Fine-tune this configuration to match your needs. For more information, see the BigQuery Plugin ↗ page in the docs.
Authentication
Step 4. Start the Sync
Run the following command in your terminal to start the sync
And away we go! 🚀 The sync will run until completion, fetching all selected tables from Slack. Any errors will be logged to a file called cloudquery.log
.
Further Reading
Now that you've seen the basics of syncing Slack to BigQuery, you should know that there's a lot more you can do. Check out the CloudQuery Documentation, Source Code and How-to Guides for more details.