Systems | Development | Analytics | API | Testing

Embarking on a data lake or data warehouse migration to BigQuery can seem daunting, but a thorough assessment helps clarify the path forward. This video introduces Google Cloud's services and expert guidance for evaluating the cost and complexity of migrating your existing systems, providing a clear plan for your migration journey. Discover how initial assessments help estimate time, costs, and identify the best approach for a successful migration from Snowflake, Teradata, Cloudera, Databricks and more.

Transform messy JSON into a powerful AI recommendation engine, all within BigQuery. This demo showcases a low code workflow, using Data Prep's visual tools to clean raw data, BQML to generate Gemini powered vector embeddings, and a simple SQL query to find similar items. It's a look at how Google Cloud lets data analysts build end-to-end AI pipelines without complex ETL scripts. The entire project is open-source. Build it yourself!

Geospatial data is a powerful tool for gaining insights into everything from customer behavior to environmental patterns. BigQuery allows you to store and analyze this location data using standard SQL, and bringing that data into a Colab notebook gives you the flexibility to combine BigQuery's power with popular Python visualization libraries. This approach is perfect for ad-hoc or iterative analysis. In this video, we'll give you an overview of these capabilities and walk through a demo of how you can analyze and visualize your geospatial data.

BigQuery Data Engineering Agents are here to help data analysts and engineers build faster, and focus more on creative problem-solving. Lucia Subatin shows how these AI-powered agents can save your time from tedious coding, schema mapping, and manual metadata creation Speakers: Lucia Subatin Products Mentioned: AI Infrastructure, BigQuery.

Predictive analytics helps businesses move from guesswork to informed decisions—especially when it comes to inventory. Using sales data already stored in BigQuery, this demo walks through how to forecast future demand using BigQuery ML. With just a few lines of SQL, viewers see how to transform raw data, train an ARIMA model, and generate confident sales predictions without needing to export data or manage additional machine learning infrastructure.

Discover how Gemini in BigQuery simplifies data preparation and helps you transform messy timeseries data, restructure complex datasets, and generate valuable insights without writing code. Overcome the cold start problem and streamline your data analysis workflow. Speaker: Pallavi Sama Products Mentioned: BigQuery, Gemini,

Writing complex SQL queries can be challenging, but BigQuery's new pipe syntax offers a more intuitive way to structure your code. Learn how pipe syntax simplifies both exploratory analysis and complex log analytics tasks, helping you gain insights faster. Watch along and discover how to leverage pipe syntax in BigQuery for a more efficient analytics experience. Chapters: Speaker: Jeff Nelson Products Mentioned: Cloud - Data Analytics - BigQuery.

Learn how to transform your raw BigQuery data into captivating visualizations and actionable insights. This video demonstrates how to seamlessly connect and visualize your BigQuery data using Looker’s user-friendly interface and powerful semantic modeling capabilities. Watch along and discover how Looker and BigQuery empower business users with self-service analytics today.

Want to learn more about how you can use Gemini with BigQuery? In this video, Chloe Condon (Developer Relations Engineer for Google Cloud) helps break things down with the help of Gemini. You'll learn how BigQuery can be combined with AI tools to make your developer workflow more efficient.

Integrating Anthropic's Claude models into BigQuery opens new doors for advanced analytics and insights. From security enhancements to content localization, the possibilities are vast. Learn how in this quick tutorial. Speaker: Billy Jacobson Products Mentioned: Cloud - Data Analytics - BigQuery.