What if you could ensure the accuracy and integrity of your data effortlessly? Join this sessions on Data Constraints in databases, where we'll uncover the fundamental rules that keep your data reliable and consistent. Starting with the basics, we'll explore what data constraints are and why they are essential for maintaining the quality of your database. We'll dive into different types of data constraints, including primary keys, foreign keys, unique constraints, and check constraints, explaining how each one helps in enforcing data rules and relationships within your database. You'll learn the correct syntax for defining these constraints and see practical examples of how they can prevent errors and ensure data integrity. Through real-world scenarios, we'll illustrate how data constraints can be used to enforce business rules and improve the overall robustness of your database applications. We'll also discuss the performance implications of using constraints and best practices for their implementation to optimize both efficiency and accuracy. Finally, we'll cover common challenges and pitfalls associated with data constraints, providing tips on how to avoid them and ensure your database remains a reliable asset for your organization. Whether you're a novice or looking to deepen your understanding, this session will equip you with the knowledge to leverage data constraints effectively and enhance the reliability of your database systems.

AWS perspectives on cloud-native generative AI and database requirements

What if you could ensure the accuracy and integrity of your data effortlessly? Join this session on Data Constraints in databases, where we'll uncover the fundamental rules that keep your data reliable and consistent. Starting with the basics, we'll explore what data constraints are and why they are essential for maintaining the quality of your database. We'll dive into different types of data constraints, including primary keys, foreign keys, unique constraints, and check constraints, explaining how each one helps in enforcing data rules and relationships within your database. You'll learn the correct syntax for defining these constraints and see practical examples of how they can prevent errors and ensure data integrity. Through real-world scenarios, we'll illustrate how data constraints can be used to enforce business rules and improve the overall robustness of your database applications. We'll also discuss the performance implications of using constraints and best practices for their implementation to optimize both efficiency and accuracy. Finally, we'll cover common challenges and pitfalls associated with data constraints, providing tips on how to avoid them and ensure your database remains a reliable asset for your organization. Whether you're a novice or looking to deepen your understanding, this session will equip you with the knowledge to leverage data constraints effectively and enhance the reliability of your database systems.

Common sense suggests that a manager should know something about the thing they are managing, no? I was asked recently to take over a team that owns the databases for the fast growing cloud storage provider, Wasabi, and found myself in the midst of pivotal decisions that will determine if the company can evolve its technology to enable order-of-magnitude scaling and new business opportunities. The lessons about how to manage the team, how to manage up, and how to make these technical decisions should be helpful to many others facing challenges with their database technology. Spoiler: I didn’t have to write a line of SQL.

Firestore with MongoDB compatibility is a serverless database service  designed to maximize scalability, high availability and performance without the hidden costs of capacity planning. This session demonstrates the new Firestore with MongoDB compatibility capabilities and discusses how Dialpad has built an Ai-powered customer communications platform leveraging Firestore over the last 14 years to grow a successful, performant, reliable business.

In this session, you’ll learn how to build an AI agent using MongoDB Atlas on Google Cloud in just 15 minutes. We’ll cover how to embed and store your data along with vectors in a single database; build a vector search index and run search queries; and implement an AI agent.

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 some of the world’s most innovative companies modernized and transformed their applications with the power of Firestore, Firebase, and cutting-edge generative AI. Learn how they leveraged the latest technologies, such as edge computing and AI, to enhance customer experiences at every stage of the customer journey. Explore their innovative architecture and gain insights into building modern, engaging applications that deliver exceptional customer experiences.

This session explores the evolution of data management on Kubernetes for AI and machine learning (ML) workloads and modern databases, including Google’s leadership in this space. We’ll discuss key challenges and solutions, including persistent storage with solutions like checkpointing and Cloud Storage FUSE, and accelerating data access with caching. Customers Qdrant and Codeway will share how they’ve successfully leveraged these technologies to improve their AI, ML, and database performance on Google Kubernetes Engine (GKE).

Experience the power of AlloyDB Omni, a cutting-edge PostgreSQL-compatible database designed for multicloud and hybrid cloud environments. This session explores how AlloyDB Omni accelerates the development of modern applications, enabling generative AI experiences, efficient vector search, real-time operational analytics, and scalable transactional performance. We’ll also showcase how to run your applications on multiple clouds using Aiven’s seamless managed service, and how to supercharge hybrid cloud deployments with cloud-ready partners.

Explore the latest advancements in the open source software (OSS) world of in-memory data management and the launch of Memorystore for Valkey. Discover the exciting new features and enhancements in Valkey 8.0, including a preview of upcoming open source innovations on the roadmap. Join us for a deep dive with a customer who will share their real-world experience using Valkey within their architecture. Learn how they leverage the power of in-memory data to achieve exceptional performance and scalability.

This session explores building sensitive data protection directly into Retrieval-Augmented Generation (RAG) architectures. We'll demonstrate how to leverage Cloud Data Loss Prevention (Cloud DLP) and the Faker Library to anonymize sensitive data within the RAG pipeline. The session will cover techniques for reversible transformations using Memorystore and Firestore for data mapping, and discuss integrating these methods with Large Language Models (LLMs) like Gemini via LangChain and Vertex AI Search. Learn how to create secure and compliant AI solutions that protect sensitive data and adhere to regulations like the EU AI Act.

This session dives into building a modern data platform on Google Cloud with AI-powered data management. Explore how to leverage data mesh architectures to break down data silos and enable efficient data sharing. Learn how data contracts improve reliability, and discover how real-time ingestion empowers immediate insights. We'll also examine the role of data agents in automating data discovery, preparation, and delivery for optimized AI workflows.

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.

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!

Time to make generative AI a reality for your application. This session is all about how to build high-performance gen AI applications fast with Cloud SQL for MySQL and PostgreSQL. Learn about Google Cloud’s innovative full-stack solutions that make gen AI app development, deployment, and operations simple and easy – even when deploying high-performance, production-grade applications. We’ll highlight best practices for getting started with Vertex AI, Cloud Run, Google Kubernetes Engine, and Cloud SQL, so that you can focus on gen AI application development from the get-go.

Migrations can feel daunting, especially for small teams. This session offers practical tips, tools, and strategies to plan and execute migrations efficiently, minimizing downtime and maximizing your existing resources. You’ll view a live demo of Google’s migration tools and learn from TRIARQ Health about how they successfully navigated their own migration to Google Cloud.

There are cases when you can’t use Google Cloud services but still want to get all benefits of AlloyDB integration with AI and serve a local model directly to the database. In such cases, AlloyDB Omni deployed in a Kubernetes cluster can be great solution, serving for edge cases and keeping all communications between database and AI model local.

Embark on a journey to enhance your Oracle applications by migrating and modernizing them on Google Cloud. This session delves into real-world customer success stories and showcases the latest advancements. Discover best practices for seamless migrations and explore how Google Cloud optimizes performance and scalability for your Oracle applications. Uncover valuable insights from your Oracle databases and app-powered integrations with Google advanced AI, analytics, and monitoring tools.

Unlock the full potential of your mission-critical workloads on Google Cloud. Discover how our platform is purpose-built for Microsoft, Oracle, OpenShift, and more, enabling you to optimize total cost of ownership (TCO) and accelerate modernization. Learn firsthand from customers who have successfully transformed their businesses by bringing their workloads to Google Cloud.

The next generation of intelligent business applications is here and powered by generative AI. In this session, you will learn about Spanner's latest graph capabilities and how GraphRAG can help you deliver richer contextual generative AI applications. Discover how to leverage a consolidated data platform to create smarter, more intuitive applications and drive business innovation.

You name it, we’ll build it. If a demo feels too polished without enough opportunities for things to go wrong, then let’s throw out the script and do it live. We’ll pick a JavaScript framework and a database, and then build a full-stack application from scratch. If you’re a full-stack application developer or a frontend or backend developer wondering how everything ties together in a modern application, this will be an exciting ride worth joining – no Google Cloud experience required.