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Handbook: add customer ops data workflows page #2952

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Apr 21, 2021
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Handbook: add customer ops data workflows page #2952

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Handbook: add customer ops data workflows page
attfarhan Apr 20, 2021
91e4ec4
Update handbook/ops/bizops/customer_ops_data.md
attfarhan Apr 21, 2021
ed646f2
Update handbook/ops/bizops/customer_ops_data.md
attfarhan Apr 21, 2021
aff98a5
Update handbook/ops/bizops/customer_ops_data.md
attfarhan Apr 21, 2021
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s/customer ops data/data workflows
attfarhan Apr 21, 2021
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Merge branch 'fa/customer-ops-data' of github.com:sourcegraph/about i…
attfarhan Apr 21, 2021
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s/customer ops data/data workflows
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@attfarhan
attfarhan committed Apr 21, 2021
commit e5bf726c4208fb518b01aac55b994160b56dc9b7
2 changes: 1 addition & 1 deletion handbook/ops/bizops/analytics.md
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Expand Up @@ -30,7 +30,7 @@ We have [written policies about how we handle customer information](./customer_d
- Google Cloud Platform: BigQuery is our data warehouse and the database Looker runs on top of
- Google Sheets: There are a [number of spreadsheets](https://drive.google.com/drive/folders/1LIfVyhjhh_mpc0SNOFvpNfN2h4CmGQmI) that Looker queries (by way of BigQuery).
- BizOps builds ad-hoc tools to analyze data for various reasons. The projects are in the [Google Drive Analytics folder](https://drive.google.com/drive/folders/1mtrHKsB2Kv0IGQ829zbcRGDSYHQpzkfd) and the source code is available in the [analytics repo](https://github.com/sourcegraph/analytics).
- For further explanation on how we use these tools, see the [customer ops data workflows](customer_ops_data.md) page
- For further explanation on how we use these tools, see the [data workflows](data_workflows.md) page

### Data pipelines

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8 changes: 4 additions & 4 deletions handbook/ops/bizops/customer_ops_data.md → handbook/ops/bizops/data_workflows.md
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# CustomerOps Data Workflows
# Data Workflows

This document outlines the processes we have in place to pull data from our various third-party customer ops tools and get it into BigQuery and Looker for analysis.
This document outlines the processes we have in place to pull data from our various third-party tools and get it into BigQuery and Looker for analysis.

We extract data from our customer ops tools using several methods, described in more detail below. The methods we use currently include reading data into Google Sheets using data connectors (add-ons), writing Python scripts to query the tools' APIs, and create workflows in Zapier.
We extract data from our tools using several methods, described in more detail below. The methods we use currently include reading data into Google Sheets using data connectors (add-ons), writing Python scripts to query the tools' APIs, and create workflows in Zapier.

## Google Sheets Add-Ons

We use Google Sheets as a data store after pulling data from some of our customer ops tools. Once the sheets are created with the data we want, we connect them to BigQuery to create database tables.
We use Google Sheets as a data store after pulling data from some of our tools. Once the sheets are created with the data we want, we connect them to BigQuery to create database tables.

The add-ons we use depend on the data source. Currently, we use:

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