Reimagine your data analysis experience with the AI-powered BigQuery data canvas. This natural language centric tool simplifies the process of finding, querying, and visualizing your data. Its intuitive features help you discover data assets quickly, generate SQL queries, automatically visualize results, and seamlessly collaborate with others – all within a unified interface.

Data practitioners spend much of their time on complex, fragmented and sometimes, repetitive tasks. This limits their ability to focus on strategic insights and maximize the value of their data. Gemini in BigQuery shifts this paradigm by providing AI capabilities that help streamline your workflows across the entire data lifecycle.

Data and AI Cloud for Marketing: Your marketing, multiplied by Google Cloud Speakers: Jiby Varghese.

Duet AI can easily create SQL or Python code to do things like customer segmentation in BigQuery Studio.

If you’re working with large amounts of data, and looking for guidance on how to build a data warehouse in Google Cloud using BigQuery- this new Jump Start Solution is for you! In this video, we’ll walk you through the Jump Start Solution that combines BigQuery as your data warehouse and Looker Studio as a dashboard and visualization tool.

Welcome to Tutorial Time where we show you what you can learn from our interactive tutorials. In this tutorial you’ll learn how to export your Cloud Billing data to BigQuery for analysis.

In this episode of Radar Release, learn about the deeper interoperability between Google’s Earth Engine and BigQuery services. Learn about scaling large data while making it accessible to more users.

Highlights ways for developers and administrators to optimize their storage spend in BigQuery.

Highlights for developers and administrators how to optimize compute spend in BigQuery.

Highlights ways for developers and administrators to improve cost and performance of SELECT queries in BigQuery.