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.

Personalized predictions can be created by analyzing user clickstream data and using vector embeddings to capture the essence of an entity across multiple dimensions. This establishes relationships between users and items, revealing preferences and interests. BigQuery facilitates batch processing of vector embeddings, which are then fed into Spanner for efficient retrieval of these relationships via vector search. This enables real-time personalized recommendations with sub-ms response times. This solution offers accuracy, scalability, and real-time responsiveness.

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.

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.

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.

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.

Simplify blockchain development with generative AI on Google Cloud. In this interactive session, you’ll learn how Gemini AI helps generate queries for BigQuery blockchain datasets and analyzes real-time blockchain data. See how Blockscope is using Gemini to conduct forensic analysis of blockchain data. Live demos will show you how to supercharge your Web3 projects, whether you're a blockchain veteran or just starting out.

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!

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.

Modernize your Oracle workloads on Google Cloud. Experience seamless migration, robust infrastructure, and familiar tools for mission-critical workloads. Unlock your data's potential with BigQuery and Vertex AI, driving business differentiation and cost reduction. Learn how the Google Cloud & Oracle partnership, combined with your expertise, can accelerate digital transformation, reduce costs and grow your customers' potential. 

This talk offers a solution to accelerate healthcare innovation by streamlining the conversion and integration of various data formats (HL7 v2, CSV, RDBMS, etc.) into the FHIR standard.

This solution reduces the need for manual mapping allowing for quick conversion of various healthcare data formats into FHIR and significantly reduces the workload of healthcare IT teams. FHIR data is then loaded into Google BigQuery providing a scalable and secure platform for data storage and analysis.

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!

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.

Generative AI and machine learning (ML) are transforming industries, but many smaller organizations believe these technologies are out of reach due to limited resources and specialized skills. In this session, we’ll demonstrate how BigQuery is changing the game, making gen AI and ML accessible to teams of all sizes. Learn how BigQuery – with its serverless architecture, built-in ML capabilities, and integration with Vertex AI – empowers smaller teams to unlock the power of AI, drive innovation, and gain a competitive edge.

The rise of AI demands an easier and more efficient approach to data management. Discover how small IT teams are transforming their data foundations with BigQuery to support AI-powered use cases across all data types – from structured data to unstructured data like images and text (multimodal). Learn from peers across industries and geographies why they migrated to BigQuery and how it helped them accelerate time to insights, reduce data management complexity, and unlock the full potential of AI.

Get the inside story of Yahoo’s data lake transformation. As a Hadoop pioneer, Yahoo’s move to Google Cloud is a significant shift in data strategy. Explore the business drivers behind this transformation, technical hurdles encountered, and strategic partnership with Google Cloud that enabled a seamless migration. We’ll uncover key lessons, best practices for data lake modernization, and how Yahoo is using BigQuery, Dataproc, Pub/Sub, and other services to drive business value, enhance operational efficiency, and fuel their AI initiatives.