This workflow connects to the Austin Bikeshare dataset, hosted among the Google BigQuery public datasets and a Databricks instance hosting the Austin Weather dataset. It first performs custom queries on the two platforms, then data are imported into the workflow and merged. Blended data are then visualized and uploaded on the personal Google BigQuery space and on the Databricks cluster.
You need a P12 authentication key provided by the Google Cloud Platform in order to execute the upper part of the workflow and a Databricks cluster in order to run the bottom part.
You need a P12 authentication key provided by the Google Cloud Platform in order to execute the upper part of the workflow and a Databricks cluster in order to run the bottom part.