Managing BigQuery costs can be challenging, especially when juggling the different pricing models. In this session, we’ll dive into the obstacles companies face when using BigQuery at scale and how to overcome them. Highlighting real-world use cases, I’ll share how organizations have successfully optimized their BigQuery expenses by addressing inefficiencies in reservations. Attendees will learn practical strategies to reduce costs by up to 35% and discover how automatically adjusting the max slot setting can be a game-changer.

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Discover how semiautonomous agents reduce manual effort and accelerate business outcomes with AI-powered experiences for data discovery, data preparation, analysis, and insight generation.

Explore how the open source Data Migration Tool can help with end-to-end automation for Teradata to BigQuery migration, including schema migration, data migration, and schema & data validation.

Seamlessly search your first and third party enterprise data with Google Agentspace. Discover its ready-to-use agents and other upcoming features, transforming how you work and access information.

Build fully integrated streaming pipelines on Google Cloud and learn how to leverage AlloyDB, Datastream, BigQuery, Looker, and Vertex AI for real-time data analysis.

Routine tasks such as data wrangling and pipeline maintenance often inhibit data teams from doing higher-value analysis and insights-led decision-making. This session showcases how intelligent data agents in BigQuery can help automate complex data engineering tasks. You’ll learn how to use natural language prompts to streamline data engineering tasks from ingestion and transformation, such as data cleaning, formatting, and loading results into BigQuery tables that accelerate the time to build and validate data pipelines.

Routine tasks such as data wrangling and pipeline maintenance often inhibit data teams from doing higher-value analysis and insights-led decision-making. This session showcases how intelligent data agents in BigQuery can help automate complex data engineering tasks. You’ll learn how to use natural language prompts to streamline data engineering tasks from ingestion and transformation, such as data cleaning, formatting, and loading results into BigQuery tables that accelerate the time to build and validate data pipelines.

Streamline data analytics workflows with AI assistance. Enhance data team productivity and reduce costs.

Learn to leverage the newest graph query capabilities to find hidden patterns, and build a Customer 360 graph for more personalized product recommendations.

Build an open, secure, and integrated AI data platform. Manage the end-to-end data life cycle with built-in governance.

Build and run predictive models using SQL in BigQuery. Leverage the latest models for generative AI tasks.

Transform vehicle operational data into actionable intelligence. Reduce maintenance downtime, optimize fleet operations, and make data-driven decisions through interactive diagnostics using Gemini models and BigQuery.

In this hands-on lab, you'll explore data with BigQuery's intuitive table explorer and data insight features, enabling you to gain valuable insights without writing SQL queries from scratch. Learn how to generate key insights from order item data, query location tables, and interact with your data seamlessly. By the end, you’ll be equipped to navigate complex datasets and uncover actionable insights quickly and efficiently.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

A reference implementation for analyzing geospatial data with generative AI. Combine Google’s unique ML models with your own data and Gemini’s reasoning capabilities to unlock powerful insights for crisis response, public health, climate resilience, and more.

Access data insights through natural conversation. Build custom AI analytics apps with APIs.

Are you ready to get hands-on with Google Cloud’s AI tools? In this 2 hour gHack, you will work in teams of 4. Together you will build a Formula E Race Analysis System from scratch using a variety of our AI and Data tools. Teams will work together to build the solution by searching, learning and collaborating together to find the answers needed. 3-2-1 lights out and away we go!

Don’t miss this fireside chat! Join Teradata, Google Cloud, and HSBC to discover how Teradata VantageCloud migrated HSBC’s UK data platform. Learn how Teradata’s Cloud Vantage EDW enabled scalable, secure solutions and improved decision-making. With over 4 billion queries, 2,500 applications, and 35 integrated systems, this hybrid cloud solution offers unparalleled resilience and cost-efficiency.

Is your outdated data infrastructure hindering your ability to leverage the full potential of AI and machine learning? This session explores how migrating to BigQuery can empower you to modernize your data infrastructure and unlock new opportunities for innovation with all of your data. Hear how Paypal and Intesa Sanpaolo transformed their data platform with BigQuery to get the most value from their data lakes and warehouses and the lessons they learned along the way.

Discover how to use geospatial analytics to drive sustainability insights. See how Earth Engine, BigQuery and Google Earth empower any professional to unlock insights and make data-driven decisions, regardless of their expertise or training. 

This hands-on lab guides you through importing real-world data from CSV files into a Cloud SQL database. Using a flight dataset from the US Bureau of Transport Statistics, you'll gain hands-on experience with data ingestion and basic analysis. You'll learn to create a Cloud SQL instance and database, effectively import your data, and build a foundational data model using SQL queries.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!