BigQuery now supports a RANDOM_HASH predefined masking rule. This rule returns

## Feature Feature BigQuery now supports a `RANDOM_HASH` predefined masking rule. This rule returns a hash of the column's value using a salted hash algorithm, and it provides stronger security than the standard `Hash (SHA-256)` rule. For more information, see [Data masking rules](https://cloud.google.com/bigquery/docs/column-data-masking-intro#masking%5Foptions). ## Feature Feature BigQuery now offers [conversational analytics](https://cloud.google.com/bigquery/docs/conversational-analytics), which accelerates data analysis by enabling insights through natural language. Users can view a predefined sample agent, chat with their BigQuery data or custom agents, and access those agents even outside of BigQuery. They can also use [supported BigQuery ML functions](https://cloud.google.com/bigquery/docs/conversational-analytics#bigquery-ml-support)in verified queries and in chat. This feature is in[Preview](https://cloud.google.com/products/#product-launch-stages). ## Feature Feature You can now create [BigQuery ML models by using the Google Cloud console](https://cloud.google.com/bigquery/docs/create-machine-learning-model-console). This feature is [generally available](https://cloud.google.com/products/#product-launch-stages)(GA).