Send your Harvest data to Google BigQuery with Singer
Singer makes it easy to send standard, JSON-formatted data from taps to targets.
Singer makes it easy to send standard, JSON-formatted data from taps to targets.
Harvest is cloud-based time-tracking software. The Singer Harvest tap pulls data out of Harvest and delivers data in a standard, JSON-based format.
Google BigQuery is a popular data warehouse. The Singer Google BigQuery target consumes data from any Singer tap.
Installing and running taps and targets is easy. Check the tap and target repositories for specific setup steps.
$ Clone the repository, then install using setup.py in a virtualenv:
```
> virtualenv -p python3 venv
> source venv/bin/activate
> python setup.py install
```
$ pip install target-google-bigquery
Stitch can run the Singer Harvest tap on a schedule you define. Take advantage of Stitch's automatic infrastructure scaling, error alerting, and more—no code required.
Extract data from these Taps and send it to the Google BigQuery target.
Sponsored by
Singer is sponsored by Stitch, a fully-managed data pipeline. With Stitch you can run Singer taps on your schedule, stream the data to your warehouse, and enjoy automated monitoring and alerting.
