Leverage policy tags and row/column level security in BigQuery datasets to secure sensitive data. With role based access controls, BigQuery users will only be able to see and access data (specific rows / columns) that they are privileged with. This works seamlessly with Google Cloud Data Catalog service.
To know more visit my blog here:
Google BigQuery lets users develop and operationalize advanced ML models with just SQL skills. You don't have to be a Tensorflow or Keras expert or a data scientist to train ML models. Follow along with this article if you are interested to see how to develop a linear regression ML model in BigQuery to predict the solar coverage percentage for US states.
https://medium.com/@agsathya/develop-and-operationalize-ml-models-using-plain-sql-on-google-bigquery-462bc2bbe441
