What if closing a mortgage was faster, simpler, and more efficient than ever before? United Wholesale Mortgage (UWM), the nation's top loan originator, is making that vision a reality with Google AI. UWM is already seeing dramatic results, including a doubling of underwriter productivity in just nine months. Join us to discover how UWM is leveraging Vertex AI, Gemini Flash, and BigQuery to create a seamless experience for brokers and homebuyers and share their exciting vision for the future of home financing, including agentic AI experiences.

Small teams often struggle to unlock the full potential of their data due to limited resources and a lack of specialized expertise. In this session, we’ll show you how BigQuery and Looker make advanced analytics accessible and easy for teams of any size. Learn how to seamlessly integrate, analyze, and visualize your data to drive data-driven decisions and achieve your business goals.

This session provides a comprehensive guide to building a secure and unified AI lakehouse on BigQuery with the power of open source software (OSS). We’ll explore essential components, including data ingestion, storage, and management; AI and machine learning workflows; pipeline orchestration; data governance; and operational efficiency. Learn about the newest features that support both Apache Spark and Apache Iceberg.

Are you a data scientist or developer using Python to build AI models and generative AI applications? Learn how BigQuery can supercharge Python data science workflows with capabilities that give you the productivity of Python and allow BigQuery to handle core processing. Offloading Python processing enables large-scale data analysis and seamless production deployments along the data-to-AI journey. Find out how Deutsche Telekom modernized their machine learning platform with a radically simplified infrastructure and increased developer productivity.

Modern analytics and AI workloads demand a unified storage layer for structured and unstructured data. Learn how Cloud Storage simplifies building data lakes based on Apache Iceberg. We’ll discuss storage best practices and new capabilities that enable high performance and cost efficiency. We’ll also guide you through real-world examples, including Iceberg data lakes with BigQuery or third-party solutions, data preparation for AI pipelines with Dataproc and Apache Spark, and how customers have built unified analytics and AI solutions on Cloud Storage.

A clean energy platform that connects residents, businesses, and other consumers with clean energy facilities that lower their electric costs, centralized data from CRM and billing systems in BigQuery for churn analysis. Historically, account managers manually reviewed cancellation cases, parsing emails and call transcripts to categorize reasons using a complex 65-category system, later condensed into 16 actionable insights. By leveraging Google Gemini, we automated this process, training the LLM to analyze customer interactions and assign accurate categories, streamlining operations and enhancing retention strategies.

Unlock the power of AI-assisted coding in BigQuery with this hands-on lab. Learn how to generate SQL queries using natural language prompts, utilize BigQuery's code explanation and transformation features, and collaborate with Gemini to review, debug, and optimize your SQL code. Whether you're looking to streamline query development or troubleshoot issues, this session will enhance your ability to write and refine code efficiently using Gemini's intelligent capabilities in BigQuery.

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!

Build transformative solutions by leveraging Google Cloud's data management and AI. Solutions like BigQuery and AI-first databases enable personalized recommendations and predictive analytics, delivering exceptional customer value. Partners will share best practices for building a successful data management organization with Google Cloud and how this has led to unlocking innovation.

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.

Learn from industry leaders how they migrated their platforms to BigQuery for business transformation. They’ll share how they simplified the migration process, unified their data for better insights from analytics and AI, and accelerated AI adoption with BigQuery and Vertex AI. Discover how they achieved real-world results, such as driving business growth, reducing costs, and improving customer experiences.

This talk will demonstrate how the SAP user community can use Looker/Explore Assistant Chatbot to explore data insights into SAP ERP data stored on Google Cloud's BigQuery using natural language prompts. We will discuss the challenge of accessing and analyzing SAP data - ETL, Complex Data Model, introduction to Generative AI and Large Language Models (LLMs), and Looker Explore Assistant and Chatbot This presentation will illustrate how SAP users can leverage Looker and Explore Assistant Chatbot to gain insights into their SAP ERP data residing on Google Cloud's BigQuery, using natural language prompts. We will address common challenges in accessing and analyzing SAP data, such as ETL processes and complex data models. Additionally, we will provide an introduction to Generative AI and Large Language Models (LLMs), as well as an overview of Looker Explore Assistant and Chatbot's capabilities.

In this hands-on lab, you'll learn how to build a powerful business intelligence (BI) dashboard using Looker Studio and BigQuery. Discover how to upload and query data, create reports datasets, and run scheduled queries to uncover valuable insights from large service usage logs. With your dashboard, you'll gain the ability to identify trends, optimize operations, and make data-driven decisions to improve efficiency and service quality.

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!

Join us to learn how you can build on Google’s intelligent, open, and unified Data Cloud to accelerate your AI transformation. This session covers deep integrations between BigQuery and Google’s operational databases, such as Spanner, AlloyDB, Bigtable, Cloud SQL. Mercado Libre will share how Spanner and Bigtable Data Boost enable near-zero impact analytics on their operational data. Plus, discover how Datastream and change streams simplify data movement to BigQuery, and how reverse ETL (extract, transform, and load) from BigQuery powers operational analytics.

Learn about the latest developments in our integrated geospatial analytics capabilities from Google Maps Platform, Google Earth Engine, and BigQuery. Discover how our rich geospatial data, powerful cloud computing, and built-in AI tools make it easier for any professional to unlock insights, leading to faster, better decisions that drive business growth and sustainability. Find out how our customers are currently using geospatial analytics and Google Cloud infrastructure to improve their business and sustainability outcomes.

In today’s data-driven world, enterprises are seeking scalable, cost-effective and high-performance cloud data warehouses to fuel their analytics and AI initiatives. BigQuery has emerged as a leading solution, attracting many organizations with its serverless architecture, powerful AI and machine learning (ML) capabilities, and a unified data and AI experience. Discover how Quest Diagnostics and Ford successfully migrated to BigQuery to improve efficiency and drive innovation, and learn about new tools to help streamline migrations to BigQuery.

Tired of outdated Firebase Crashlytics alert settings? So are we! We’re giving Crashlytics in-console alerts a complete overhaul, addressing what’s been your top feedback since 2012. But we’re not stopping there. To unlock even more powerful alerting capabilities, we’re integrating Crashlytics with Google Cloud. Harness the power of BigQuery and the Google Cloud Observability suite to create advanced, enterprise-grade alerts tailored to your specific needs. Join us to learn how this revamped alerting system can streamline your debugging workflow and improve your app’s stability.

Uncover data's hidden connections using graph analytics in BigQuery. This session shows how to use BigQuery's scalable infrastructure for graph analysis directly in your data warehouse. Identify patterns, connections, and influences for fraud detection, drug discovery, social network analysis, and recommendation engines. Join us to explore the latest innovations in graphs and see real-world examples. Transform your data into actionable insights with BigQuery's powerful graph capabilities.

Build robust ETL pipelines on Google Cloud! This hands-on lab teaches you to use Dataflow (Python) and BigQuery to ingest and transform public datasets. Learn design considerations and implementation details to create effective data pipelines for your needs.

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!

Learn how to use Earth Observation data from Earth Engine to enrich your data in BigQuery. We will take a look at how to do this with Python, user defined functions and the new ST_RegionStats function in BigQuery.

Discover the perfect spot for your next store. This session shows you how to leverage Google Maps data and BigQuery to find ideal locations. Learn how to analyze valuable location insights and make data-driven decisions to grow your business.