Google Cloud is adding its generative AI-based chatbot Gemini into its fully-managed data analytics service BigQuery in order ... with data imputation to data model discovery and maintenance ...

Google has added new agents to its BigQuery data warehouse and Looker ... refers to the process of revamping raw data into features that a model can use to make predictions. The agent is also ...

The company is also rolling out a new “compressed storage billing” model that will reduce the cost of BigQuery customers, “depending on the type of structured and unstructured data that is stored,” ...

When you have got disparate data flowing in from every corner of your business, making sense of it all and making it work ...

it’s the best model integrated in a data stack that understands how agents work.” This integration has driven rapid adoption of AI capabilities within BigQuery. According to Google ...

Google said it can generate metadata, recommend business glossary terms and model data relationships on the fly. The engine underpins new AI-driven functions in BigQuery, including data insights ...

“This is a unique new model … for spiky workloads ... which can then be shared with any BI tool. On the data privacy side, Google announced BigQuery data clean rooms, a new service designed ...

In response, Google has now made a multistage compression model available within BigQuery to achieve a 30-to-1 compression rate. Customers now have the option to pay for highly-compressed data ...

BigQuery is Google’s fully managed, serverless data warehouse that lets you store ... For example, you can create a multi-touch attribution model that considers engagement, time to conversion ...

In addition, Google said with BigQuery’s new compressed storage billing model, customers can manage complexity across all data types while keeping costs low. “Irrespective of which pricing ...