Integrating data from Oracle ERP to Google BigQuery? Join this session and discover how to enable seamless data integration, creating a robust data and integration fabric on Google Cloud. This capability enhances data accessibility and analytics, empowering informed business decisions. We also developed an abstraction layer to streamline integrations, fostering synergy across third-party platforms, accelerating time-to-value, and supporting a scalable, data-driven enterprise.

This Session is hosted by a Google Cloud Next Sponsor.
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PostgreSQL is one of the most popular open source databases for application development.  Furthermore, native support for vector search makes PostgreSQL an excellent choice for generative AI app development too. Learn why Google Cloud is the best place for your PostgreSQL workloads across Cloud SQL, AlloyDB and Spanner database offerings. Also hear from Salesloft about their journey to Google Cloud and how they chose which database service to select for their workloads.

Build modern applications with the power of Oracle Database 23ai, and Google Cloud's Vertex AI and Gemini Foundation models. Learn key strategies to integrate Google Cloud’s native development tools and services, including Kubernetes, Cloud Run, and BigQuery, with Oracle Database 23ai and Autonomous Database, seamlessly into modern application architectures. Cloud architects, Developers, or DB Administrators will gain actionable insight, best practices, and real-world examples to enhance performance and accelerate innovation with ODB@GC.

This Session is hosted by a Google Cloud Next Sponsor.
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AlloyDB for PostgreSQL is Google Cloud’s high-performance, PostgreSQL-compatible database service for your demanding online transaction processing (OLTP), hybrid transactional and analytical, and generative AI applications. In this session, we’ll cover what’s new with AlloyDB, including critical enterprise features across performance, availability, ease of use, and more. You’ll also learn how customers are quickly migrating to AlloyDB with Database Migration Service and how they’ve successfully scaled their workloads with AlloyDB, saving money while doing so.

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!

See how a small team can leverage Google Cloud to serve millions. As the former lead of Flutter and mobile-specialist, I started with little knowledge of Cloud. Using Google's Dart and Google Cloud, we've built a successful service across Cloud Run, Compute Engine, Big Query, Storage, CDN and more and here to share our learnings.

Join us to explore the future of databases and AI, two technologies driving the AI transformation era. Discover state-of-the-art capabilities and learn how to leverage multimodal models, vector search, natural language, and text search in your applications. We’ll share practical techniques for taking these cutting-edge technologies from concept to production. Customers will share their real-world experiences using AlloyDB AI and Vertex AI to accelerate innovation and transform their businesses. Gain insights into their journeys and learn how to unlock the full potential of AI and databases for your own organization.

Agentic workflows analyze vast amounts of data and generate insights in real-time, giving you a competitive advantage with your AI offering. But when should you use them and how do you get started? Join DataStax to learn what use cases are best for employing agentic workflows, best practices for assuring accuracy, and getting your agentic AI into production.

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.

Unlock the power of generative AI and data. Join experts from LlamaIndex and Google Cloud databases and learn how to seamlessly integrate LlamaIndex with AlloyDB and Cloud SQL for PostgreSQL, enabling your apps to reason, act on your data, and leverage the performance of Google Cloud. We’ll share real-world examples and code. Discover new possibilities for building advanced gen AI applications.

Tired of building the same old software as a service (SaaS) features? AI and data agents are revolutionizing the SaaS landscape, and developers are at the forefront of this exciting shift. Imagine building applications that can autonomously learn, adapt, and execute complex tasks, all while providing a personalized user experience. This session equips you with the knowledge and tools to build the next generation of intelligent SaaS applications. Learn how leading companies are leveraging AI agents to automate workflows, personalize user interactions, and boost operational efficiency. Discover the latest trends in agent development, best practices for building agent-first applications, and the secrets to successful implementation. And leave with practical insights and a clear roadmap for harnessing the power of agentic AI to create truly innovative SaaS products.

Migrate PostgreSQL to AlloyDB with Database Migration Service (DMS). This hands-on lab covers setting up Virtual Private Cloud (VPC) peering, configuring a continuous migration job, migrating data, and verifying the results. Learn to propagate live updates to your AlloyDB instance.

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!

Go under the hood to understand how the database features of Gemini Code Assist are giving application developers exciting new superpowers. Learn how Gemini powers the industry’s leading automated database querying, smarter application code wrangling in the integrated development environment (IDE), and entirely new agentic AI application features powered by enterprise data. Learn from Google Cloud engineers, and industry experts about how these features are having an impact today. And discover the secret sauce that makes these superpowers possible.

Spanner Graph provides graph database capabilities at virtually unlimited scale and allows you to seamlessly interoperate between relational and graph data models. Join this session to learn about the latest capabilities in Spanner Graph and how you can build intelligent applications with it.

NVIDIA GPUs accelerate batch ETL workloads at significant cost savings and performance. In this session, we will delve into optimizing Apache Spark on GCP Dataproc using the G2 accelerator-optimized series with L4 GPUs via RAPIDS Accelerator For Apache Spark, showcasing up to 14x speedups and 80% cost reductions for Spark applications. We will demonstrate this acceleration through a reference AI architecture on financial transaction fraud detection, and go through performance measurements.

Unstructured data makes up the majority of all new data; a trend that's been growing exponentially since 2018. At these volumes, vector embeddings require indexes to be trained so that nearest neighbors can be efficiently approximated, avoiding the need for exhaustive lookups. However, training these indexes puts intense demand on vector databases to maintain a high ingest throughput. In this session, we will explain how the NVIDIA cuVS library is turbo charging vector database ingest with GPUs, providing speedups from 5-20x and improving data 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.

Modernize business processes and ignite innovation. Google Cloud infrastructure uniquely offers unmatched performance, scalability, and reliability for your mission-critical SAP workloads, especially for RISE with SAP. Learn how enterprises are future-proofing their SAP landscapes with Google Cloud, unlocking data and accelerating business outcomes. Discover best practices to transform your SAP deployments into a foundation for innovation. Don’t miss these real-world customer success stories.

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.

Maximize your Google Cloud ROI with automation! This session explores strategies for rate optimization, specifically focusing on automating Committed Use Discount (CUD) management. Learn how to intelligently purchase CUDs to achieve optimal savings and dramatically reduce your cloud spend. Discover how to effectively distribute risk through commitment laddering and other strategies. Gain insight into how automation can free up your FinOps team’s time to focus on higher-value activities in the cloud.

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 how to combine generative AI with knowledge graphs to create AI systems that understand causation and drive actionable insights. Through live demos, DoiT will explore how Spanner Graph enables long-term reasoning capabilities, moving beyond descriptive analytics to prescriptive AI that generates and adapts action plans. Discover patterns and strategies to build AI systems that go beyond “What happened?” to guide organizations toward their goals. Join DoiT for an inspirational talk to create better and more trustworthy AI recommendations.

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.

Changes to Oracle’s long-standing licensing policies regarding Google Cloud have opened up a new avenue for customers to run their Oracle databases. Learn how Google’s infrastructure and network serve as the perfect foundation for maintaining performance and availability on your critical applications, while giving you a path to integrate those applications with industry-leading AI. Find out how customers are modernizing their workloads on Google Cloud as well as what’s next for their applications.