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.

In this session, we’ll explore how you can manage human and nonhuman identities on Google Cloud. We’ll discuss how these identities are defined, managed, and used to secure access to resources, and we’ll cover topics such as cryptographic managed workload identities, identity federation, and flexible identity onboarding options on Google Cloud.

Want to deploy open source models efficiently? Join this session for a technical deep dive into best practices for deploying and optimizing models like Llama and Gemma on Vertex AI.

Vertex AI offers a wide range of tools to train and tune large models. In this session, we'll guide you through power tools that Vertex AI offers to let you do everything from tune Gemini to build your own foundation model.

This session explores Yahoo Mail’s successful implementation of OpenTelemetry within their globally distributed Google Kubernetes Engine (GKE) environment on Google Cloud. Discover how they achieved seamless integration with Google Cloud Observability and established a centralized observability platform for multiple teams. Learn best practices and gain their top tips and tricks for building enterprise-level observability.

Security Command Center is the must-have risk management solution for Google Cloud. In this session, you’ll learn how to use Security Command Center to proactively manage threats, posture, data, and identities, and how to respond to security events to protect your entire cloud footprint.

The excitement of generative AI has captured the imagination of developers around the world. To achieve value, customers have to confront the hard reality of what it takes to put models into production. Vertex AI provides capabilities specific to gen AI, including prompt management, tuning, evaluation, and model monitoring to help customers to put gen AI use cases into production. Learn how these capabilities can help accelerate your ability to get the most out of gen AI and how customers have used them successfully for a return on investment.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Imagine running your non-relational workloads at relational consistency and unlimited scale. Yahoo! dared to dream it, and with Google Spanner, it plans to make it a reality. Dive into its modernization plans for the Mail platform, consolidating diverse databases, and unlocking innovation with unprecedented scale. Be part of the conversation and see how Spanner can transform your database landscape.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Platform engineering is rapidly transforming the way we build and manage software and the traditional focus on infrastructure is giving way to an application-centric model that prioritizes the needs of developers and other stakeholders across their organizations. This shift empowers developers by offering them streamlined tools and self-service portals for the development, deployment, and management of applications while simplifying operations and governance. Join this session to learn how developers can gain autonomy, freeing them to focus on innovation instead of toil.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.