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.

Google Cloud’s Sensitive Data Protection service is a highly effective capability that can discover and classify sensitive data in your environment, helping to prevent data leakage. But it also has features useful to developers to minimize the exposure of confidential customer information when handling large volumes of sensitive data. By taking advantage of Sensitive Data Protection transformation techniques, you can de-identify sensitive information in a dataset through redaction, replacement, masking, tokenization, bucketing, date shifting, and time extraction. Developers retain the ability to test applications using functional data while still meeting security requirements put in place to protect customer information. By using pseudonymization, which is reversible and provides an easier path for troubleshooting, developers will have a more useful dataset for functional testing than they would if they used data anonymization. In this talk, you’ll learn how to use the Cloud Data Loss Prevention API (DLP API) of Sensitive Data Protection to inspect data for sensitive information and build an automated data transformation pipeline to create de-identified copies of your dataset.

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.

Join Google Cloud's Yasmeen Ahmad, Deutsche Telekom's VP of Data & Architecture Ashutosh Mishra and Snap's Senior Engineering Leader Bo Chen for a fireside chat exploring the future of the data lakehouse. They'll discuss how evolving architectures can empower organizations to handle explosive data growth and leverage the full potential of AI. Gain valuable insights into building a future-proof data foundation that fuels innovation in 2025 and beyond.

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 how urban planners have harnessed the power of geospatial systems and AI Scenario Planning to enhance resiliency, optimize land use, and explore vast amounts of complex transportation data quickly, using simple natural language queries. In this session, we'll showcase how Broward MPO is using these powerful technologies to transform planning workflows and prioritize infrastructure improvements.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

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.

Explore how running RISE with SAP on Google Cloud empowers businesses to transform operations and drive innovation. We'll showcase how our partnership is leading in data & analytics and how to gain real-time insights from your SAP data. With AI at the core of our solutions, you can automate processes, personalize experiences, and optimize resource allocation like never before. Learn how connecting everything with SAP enables you to achieve anything in today's dynamic business environment.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Join CDW for an inspiring discussion on the journey from mainframe to cloud. Learn how our cloud leaders helped Jeff Thurston from Jim’s Formalwear Inc. tackle legacy system migration, simplify data processes, and unlock their full cloud potential through automated data updates, streamlined reporting, and a foundation for cloud-native innovation. Don’t miss insights from CDW Google experts on transforming today’s challenges into tomorrow’s breakthroughs.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Data sharing is essential for driving innovation in the enterprise, but ensuring security and compliance can be challenging. Join us learn from Google, LiveRamp, and Levi's about how the unified and tightly integrated data governance capabilities of BigQuery can simplify data discovery, governance, and secure sharing. Discover how to build, share, and monetize data products with robust security and compliance, while fostering a data-driven culture across your organization.

Learn how Google Cloud is transforming data and AI governance with the latest governance and catalog innovations built directly into BigQuery. Unify metadata across platforms, boost discoverability, and accelerate insights with robust governance and security features. Discover how AI-powered insights, centralized governance, and integrated policy management can help improve data quality, track lineage, and manage access control, fostering trust and transparency in your data and AI initiatives.

Step up to the plate and dive into the world of MLB player analytics! Build a data platform and app that introduces new fans to MLB's stars. You will combine structured and unstructured data like MLB player stats and videos, then visualize and ask your data questions. Take this opportunity to leverage the latest and best of Google Cloud's data tools, like BigQuery for storage and analysis, Looker for data modeling and visualization, and the new Conversational Analytics for natural language queries. What new MLB player insights will you uncover?

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!

Lean teams often struggle to manage the overwhelming volume of unstructured content. This session explores how Gemini, Google’s cutting-edge AI, can help you easily structure and analyze this data. Learn how Box AI is utilizing Gemini with their customer solutions, and examine a real-world use case from Fundwell. Get insights on how to automate data extraction, enhance customer interactions, streamline operations, and gain a significant competitive edge. Discover how AI can empower your team to unlock the true value within your data.

BigQuery helps you build an autonomous data and AI platform from your organization. In this session, you’ll learn how BigQuery agentic intelligence is automating critical data workflows, including data preparation, analysis, predictions, model tuning, security, and governance. We’ll explore the BigQuery AI capabilities that all data practitioners can use to address data challenges in the AI era.

Looker is transforming business intelligence (BI) with the power of AI. This session explores the latest AI advancements in Looker, showcasing how these new features – combined with the power of its semantic modeling and self-service exploration capabilities – simplify data analysis and empower everyone to make data-driven decisions. We’ll cover Looker AI and BI strategies, demonstrate new capabilities, and share best practices for leveraging AI in your BI workflows.

Join Achilles Chalkiotis, North American Head of Digital Engagement at Grid Dynamics, to explore how AI is revolutionizing the retail customer journey. Learn how AI enhances shopping experiences with semantic search, personalized results, dynamic Q&A, and "view in my room" visualization. Discover the future of AI with image-based search, context-aware recommendations, and intelligent assistants. Understand the benefits for customers and retailers, from improved satisfaction to valuable insights.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Learn how public sector organizations are using data and AI to protect our resources, monitor and address environmental challenges, and better understand the world around us. By leveraging AI, advanced analytics, demographic data, and satellite imagery, we’re able to build a safer and more sustainable future, together.

Mayo Clinic Platform (MCP) will share their experience building an Internal Developer Platform (IDP) and how it has significantly accelerated developer onboarding and deployment to their network, including the Mayo Clinic Care Network (MCCN) when hosted. This platform has been a key driver in rapidly delivering innovation, which has historically been challenging in healthcare. Eviden played a crucial role as a key partner in the initial development, and MCP is progressively taking on more internal ownership to support future scaling and growth.

Launching LLM-powered products is transformative but requires strategic execution. This session shares lessons from embedding AI solutions (built with Gemini on Google Cloud) into real use cases. Learn how we avoided pitfalls, tackled automation myths, and delivered real value. Gain insights on identifying high-impact AI opportunities, validating solutions, and iterating for successful product launches.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Learn how generative AI can enhance data workflows and analysis. This session demonstrates how to access and use Gen AI models in BigQuery, including new features like open source model support and structured output from Gemini. Accelerate your data analysis with the latest AI innovations available directly in BigQuery.