• Template Bucket.
• Google Cloud Staging Bucket.
• Apple Health Bucket.

Deploy function that listens to new objects in bucket

$ gcloud functions deploy launchAppleHealthDataflowJob \
  --stage-bucket fabio-architecture-1-gcf \
  --trigger-bucket fabio-architecture-1-apple-health

• Build and upload the template.
• Upload the template metadata.

• Create a dataset called fitness_data
• Import CSV for CDC recommendations into BigQuery

cd bigquery
npm install
npm start interview-architecture-1 fitness_data cdc_calorie_needs ./cdc_calorie_needs_lookup.csv
npm start interview-architecture-1 fitness_data cdc_sleep_hours ./cdc_sleep_hours_lookup.csv

• Open the google cloud function and start streaming logs.
• Open Dataflow and watch for a new job being created.
• Upload data to apple health bucket.
• Open Cloud Functions, click on logs, and click on Play button to see logs being streamed.
• Open dataflow and see job running.
• Open BigQuery and see data being populated.
• Open Datalab and start querying data.