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[DEPRECATED] GAE python based app which regularly collects information about GCP resources and stores them in BigQuery

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GCP Census should be able to list 10000+ projects, by scheduling next tasks with iteration token

bug

We need to make sure the views are created in the correct order, e.g. create ```datasets_cost_estimation_v1_0``` after ```table_metadata_v1_0``` view. Currently the first run might returns an error and the call...

We should update our model to support [partitioned tables](https://cloud.google.com/bigquery/docs/partitioned-tables#partitioned_tables) with `field` field. Requires also #10.

We could group retrieving table metadata into larger tasks (i.e. 10 API calls per task) and then retrieve them asynchronously. This should reduce GAE costs.

Model in version 1.0 doesn't store [partitions summary](https://cloud.google.com/bigquery/docs/querying-partitioned-tables#last-modified) from queries anymore. We should store it in a separate table

Both [google-api-python-client](https://github.com/google/google-api-python-client/releases) and [oauth2client](https://github.com/google/oauth2client/releases) have new versions. We should update to the most recent versions. In fact oauth2client seems not to be supported anymore, so should switch to the alternative.

Whenever we will update model it should be automatically updated in BigQuery. Example scenarios: - [ ] updated query in view, - [ ] updated description in table/view, - [...