Join this session to learn best practices for optimizing your data and analytics costs. Discover new BigQuery capabilities that simplify workload management and provide greater cost controls and adherence to best practices. BigQuery customers Just Eat Takeaway and Trendyol will share their BigQuery migration journeys, scaling strategies, and how they used workload management and optimization tools to improve their return on investment (ROI).

Simplify real-time data analytics and build event-driven, AI-powered applications using BigQuery and Pub/Sub. Learn to ingest and process massive streaming data from users, devices, and microservices for immediate insights and rapid action. Explore BigQuery's continuous queries for real-time analytics and ML model training. Discover how Flipkart, India’s leading e-commerce platform, leverages Google Cloud to build scalable, efficient real-time data pipelines and AI/ML solutions, and gain insights on driving business value through real–time data.

Debug Google Kubernetes Engine (GKE) apps like a pro! This hands-on lab covers using Cloud Logging & Monitoring to detect, diagnose, and resolve issues in a microservices application deployed on GKE. Learn practical troubleshooting workflows.

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!

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!

Dive deep into how governance, security, and sharing are innately integrated in BigQuery to power data and AI use cases across your organization. Learn about new innovations that further enhance data governance, security, and collaboration across data and AI assets, without you having to leave BigQuery. Find out how data governance leaders at Walmart and Box are using BigQuery to securely scale data and AI across their organizations.

This session explores how Looker and Google Workspace work together to bring data-driven decisions right into your everyday workflow. Learn how to leverage Looker spreadsheet-based business intelligence (BI) capabilities with Connected Sheets, integrate Looker with other Workspace apps, automate slide generation, and use the advanced features of Looker Studio Pro. And view a live demo of Looker BI agents in Google Chat. Ideal for anyone looking to streamline their data workflow and enhance collaboration within their Workspace environment.

Unlock Data-Driven Automation with LangGraph. This session demonstrates how to build agents that leverage data directly from BigQuery to drive marketing campaign creation. Discover how LangGraph empowers seamless integration between data analysis and action, allowing for intelligent automated workflows.

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!

Join Aritzia, Anomalo, and Google Cloud to learn how Aritzia automates data quality across 500+ sources in BigQuery. Discover how integrating Anomalo with Google Cloud helps proactively detect anomalies, maintain data integrity, and build trust in analytics. Explore how automation reduces time spent troubleshooting and increases time spent creating business value through reliable, AI-enhanced analytics.

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!

Analyze BigQuery logs with SQL using Log Analytics. This hands-on lab covers enabling Log Analytics, querying BigQuery logs within Cloud Logging, and visualizing results for in-depth usage analysis and troubleshooting.

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!

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.

Dive deep into the world of multimodal analytics with BigQuery. This session explores how to unlock insights from all data types in BigQuery using embeddings generation and vector search. We’ll demonstrate how BigQuery object tables combine text, documents, and images to unlock popular use cases like recommendation engines and retrieval-augmentation generation (RAG). Learn how to leverage BigQuery as a knowledge base to ground your cutting-edge AI application with your own enterprise data.

In this hands-on lab, you'll explore the power of BigQuery Machine Learning with remote models like Gemini Pro to analyze customer reviews. Learn to extract keywords, assess sentiment, and generate insightful reports using SQL queries. Discover how to integrate Gemini Pro Vision to summarize and extract keywords from review images. By the end, you’ll gain skills in setting up Cloud resources, creating datasets, and prompting Gemini models to drive actionable insights and automated responses to customer feedback.

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!

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!

We invite you to explore how Cognizant's Generative AI-powered solution transforms contract negotiations. This advanced technology reduces contract review time from 92 minutes to just 26 seconds, achieving a 10% increase in accuracy. It possesses a distinctive ability to identify and risk-score non-standard contract language, equipping negotiators with a contextual understanding of risk levels. This solution facilitates data-driven decision-making, mitigates financial risks, and provides a proactive approach to contract management.

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.

Explore the future of data management with BigQuery multimodal tables. Discover how to integrate structured and unstructured data (such as text, images, and video) into a single table with full data manipulation language (DML) support. This session demonstrates how unified tables unlock the potential of unstructured data through easy extraction and merging, simplify Vertex AI integration for downstream workflows, and enable unified data discovery with search across all data.

Supercharge your applications and drive revenue growth with Looker Embedded. This session reveals how to seamlessly integrate powerful data experiences and AI-driven insights directly into your products. Discover how to increase customer engagement, unlock new revenue streams, and gain a competitive advantage. Learn how to reduce development time and costs by leveraging the robust Looker platform. Join us to learn how Looker can help you transform your applications and deliver actionable intelligence to your customers.

Cloud, AI, and data analytics technologies have the potential to revolutionize healthcare - streamlining eligibility determination, automating administrative processes, and providing greater access to critical services. By tailoring interventions, resources, and communication strategies to individual needs, technology can enable more effective, engaging, and personalized care for all.

Madhive built their ad analytics and bidding infrastructure using databases and batch pipelines. When the pipeline lag got too long to bid effectively, they rebuilt from scratch with Google Cloud’s Managed Service for Apache Kafka. Join this session to learn about Madhive’s journey and dive deep into how the service works, how it can help you build streaming systems quickly and securely, and what migration looks like. This session is relevant for Kafka administrators and architects building event-sourcing platforms or event-driven systems.

Visionaries from Virgin Media O2, TCS and Google Cloud share insights on their data modernization journey. Explore how a cloud-first data strategy enabled Virgin Media O2 to reimagine their business by enhancing agility, speed and scalability, automating operations, optimizing costs, and driving AI-readiness.

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.

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!

Concerned about AI hallucinations? While AI can be a valuable resource, it sometimes generates inaccurate, outdated, or overly general responses - a phenomenon known as "hallucination." This hands-on lab teaches you how to implement a Retrieval Augmented Generation (RAG) pipeline to address this issue. RAG improves large language models (LLMs) like Gemini by grounding their output in contextually relevant information from a specific dataset. Learn to generate embeddings, search vector space, and augment answers for more reliable results.

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!

Unlock the power of natural language with Looker Agents! This technical deep dive will walk you through an agentic architecture in Looker Conversational Analytics and showcase how the Chief Product Officer of Zeotap is helping Zeotap customers “chat with their data” within the Zeotap platform using the new Conversational Analytics API. Learn how to build custom data agents, answer questions in Workspace, and create analytics applications with the power of conversational AI.

Join Virgin Media O2 and Google for a technical discussion about lessons learned and best practices for building and scaling a data fabric on BigQuery. Find out how Virgin Media O2 eliminated silos and enabled secure and governed data sharing at scale to drive better decisions and get more value from their data.