You can now use stateful operations in continuous queries, which let you perform complex analysis by retaining information across multiple

## Feature Feature You can now use stateful operations in [continuous queries](https://cloud.google.com/bigquery/docs/continuous-queries-introduction#supported%5Fstateful%5Foperations), which let you perform complex analysis by retaining information across multiple rows or time intervals using `JOIN`s and windowing aggregations. This feature is in [Preview](https://cloud.google.com/products/#product-launch-stages). ## Feature Feature You can now use [BigQuery Graph](https://cloud.google.com/bigquery/docs/graph-overview) to model your data as a graph and perform analysis on a large scale. * [Create a graph](https://cloud.google.com/bigquery/docs/graph-create) directly from tables that store entities and relationships between entities. You don't need to modify your existing workflows or replicate your data to use it in graph queries. * Use[Graph Query Language (GQL)](https://cloud.google.com/bigquery/docs/reference/standard-sql/graph-intro)to find complex, hidden relationships between data points that would be challenging to find using SQL. * [Visualize](https://cloud.google.com/bigquery/docs/graph-visualization) your graph schema and graph query results in a notebook. This feature is in[Preview](https://cloud.google.com/products/#product-launch-stages).