With Blendo Gitlab integration, it is easy to import Gitlab data into Google BigQuery to get more answers about your issues, development projects and releases. Drill down to your development teams’ data measure their efficiency. Combine it with data from customer support and customer success and see if your converted users are actually creating value or how response and development time of a support ticket affect your customers.
As soon as your Gitlab data is synced into Google BigQuery here are some ways you can use it.
Loading your Gitlab data into Google BigQuery is easy. First, you need to connect Google BigQuery as a Destination data warehouse. Then add Gitlab as a Data Source. It will take three minutes to set it up. Next, Blendo will import any information from Gitlab and load it into your Google BigQuery data warehouse. We do the heavy lifting so you can drill down to your data with your issues, development projects and releases.
Check our documentation on how to setup Gitlab integration as a Data Source and start syncing your development data to Google BigQuery.
Check our documentation on how to connect Google BigQuery as a Data warehouse destination and start loading your data in minutes.