Snowflake is reshaping data management by integrating AI, analytics, and enterprise workloads into a single cloud platform. Snowflake: The Definitive Guide is a comprehensive resource for data architects, engineers, and business professionals looking to harness Snowflake's evolving capabilities, including Cortex AI, Snowpark, and Polaris Catalog for Apache Iceberg. This updated edition provides real-world strategies and hands-on activities for optimizing performance, securing data, and building AI-driven applications. With hands-on SQL examples and best practices, this book helps readers process structured and unstructured data, implement scalable architectures, and integrate Snowflake's AI tools seamlessly. Whether you're setting up accounts, managing access controls, or leveraging generative AI, this guide equips you with the expertise to maximize Snowflake's potential. Implement AI-powered workloads with Snowflake Cortex Explore Snowsight and Streamlit for no-code development Ensure security with access control and data governance Optimize storage, queries, and computing costs Design scalable data architectures for analytics and machine learning

Companies are now moving generative AI projects from the lab to production environments. To support these increasingly sophisticated applications, they're turning to advanced practices such as multiagent architectures and complex code-based frameworks. This practical handbook shows you how to leverage cutting-edge techniques using Microsoft's powerful ecosystem of tools to deploy trustworthy AI systems tailored to your organization's needs. Written for and by AI professionals, Generative AI on Microsoft Azure goes beyond the technical core aspects, examining underlying principles, tools, and practices in depth, from the art of prompt engineering to strategies for fine-tuning models to advanced techniques like retrieval-augmented generation (RAG) and agentic AI. Through real-world case studies and insights from top experts, you'll learn how to harness AI's full potential on Azure, paving the way for groundbreaking solutions and sustainable success in today's AI-driven landscape. Understand the technical foundations of generative AI and how the technology has evolved over the last few years Implement advanced GenAI applications using Microsoft services like Azure AI Foundry, Copilot, GitHub Models, Azure Databricks, and Snowflake on Azure Leverage patterns, tools, frameworks, and platforms to customize AI projects Manage, govern, and secure your AI-enabled systems with responsible AI practices Build upon expert guidance to avoid common pitfalls, future-proof your applications, and more

Snowflake and Databricks have become significant vendors to many enterprises, with increasing product offerings and a broad array of use cases. This session provides strategies and tactics to negotiate the best contractual deal and pose critical questions. D&A leaders will learn how their organizations can best estimate future usage needs, mitigate risk when negotiating with the vendor, discover how to best attain leverage, what is and is not leverage in Salesforce's view, etc.

Snowflake and Databricks have become significant vendors to many enterprises, with increasing product offerings and broad array of use cases. This session provides attendees with strategies and tactics to negotiate the best contractual deal with Snowflake or Databricks and to pose questions when it comes to dealing with them. D&A leaders need to understand how their organization can best estimate future usage needs, mitigate risk when negotiating with the vendor, discover how to best attain leverage, what is and is not leverage in Salesforce's view, etc.

Discover how Qarma built a resilient data platform architecture using blue-green deployment strategies powered by Snowflake zero-copy clones and dbt macros. This talk also dives into orchestrating multiple dbt projects with Kestra—from serial execution for ingestion pipelines to parallel processing for scalable analytics delivery.

Learn how Velux is building a scalable data mesh from the ground up using dbt to design and model data products in Snowflake. This session explores how dbt serves as the single source of truth, and how the team uses custom and enhanced macros to simplify data engineering workflows and accelerate data delivery.

AI is only as good as the data it runs on. With data spread across multiple platforms, it’s a challenge to ensure quality and security. As the first Iceberg-based OneLake integration partner, we’re enabling seamless, bidirectional data access between Snowflake and Microsoft Fabric. Join this session to see how the Onelake integration and Snowflake’s robust features for the Microsoft ecosystem unlock endless possibilities, from building better AI to developing powerful business applications.

Learn how partners can build scalable, secure AI solutions with Microsoft Foundry. Integrate models from OpenAI, Cohere, Mistral, Hugging Face, and Meta Llama using Azure Databricks, Cosmos DB, Snowflake, and SQL. Foundry enables orchestration of agents, model customization, and secure data workflows—all within environments like GitHub, Visual Studio, and Copilot Studio.

Build standout AI products fast with Microsoft Foundry—LLMs and Agents. Learn patterns to ship apps grounded on enterprise data via OneLake and connected platforms (Fabric, Snowflake, CosmosDB, SQL, etc.). We’ll cover retrieval, tool-use, guardrails, and evaluation—plus a lean dev loop that turns experiments into production while meeting responsible AI standards.

Transform your data replication strategy into a competitive advantage with Oracle GoldenGate 23ai. This comprehensive guide delivers the practical knowledge DBAs and architects need to implement, optimize , and scale Oracle GoldenGate 23ai in production environments. Written by Oracle ACE Director Bobby Curtis, it blends deep technical expertise with real-world business insights from hundreds of implementations across manufacturing, financial services, and technology sectors. Beyond traditional replication, this book explores the groundbreaking capabilities that make GoldenGate 23ai essential for modern AI initiatives. Learn how to implement real-time vector replication for RAG systems, integrate with cloud platforms like GCP and Snowflake, and automate deployments using REST APIs and Python. Each chapter offers proven strategies to deliver measurable ROI while reducing operational risk. Whether you're upgrading from Classic GoldenGate , deploying your first cloud data pipeline, or building AI-ready data architectures, this book provides the strategic guidance and technical depth to succeed. With Bobby's signature direct approach, you'll avoid common pitfalls and implement best practices that scale with your business. What You Will Learn Master the microservices architecture and new capabilities of Oracle GoldenGate 23ai Implement secure, high-performance data replication across Oracle, PostgreSQL, and cloud databases Configure vector replication for AI and machine learning workloads, including RAG systems Design and build multi-master replication models with automatic conflict resolution Automate deployments and management using RESTful APIs and Python Optimize performance for sub-second replication lag in production environments Secure your replication environment with enterprise-grade features and compliance Upgrade from Classic to Microservices architecture with zero downtime Integrate with cloud platforms including OCI, GCP, AWS, and Azure Implement real-time data pipelines to BigQuery , Snowflake, and other cloud targets Navigate Oracle licensing models and optimize costs Who This Book Is For Database administrators, architects, and IT leaders working with Oracle GoldenGate —whether deploying for the first time, migrating from Classic architecture, or enabling AI-driven replication—will find actionable guidance on implementation, performance tuning, automation, and cloud integration. Covers unidirectional and multi-master replication and is packed with real-world use cases.

Talk by Celeste Hogan, Developer Advocate at Snowflake.

How does a rapidly scaling, collaboration-centric company like Miro empower teams to make faster, evidence-based decisions? By leveraging Snowflake as the foundation of its data ecosystem. This session explores how Miro integrates hundreds of data sources with substantial data volumes into a single, unified platform and manages data transformations at scale. But mostly; learn how Miro is scaling business outcomes through effortless data sharing and timely analytics.

Learn how to bring all your data together with Snowflake Openflow to build with limitless interoperability and deployment flexibility, no matter if it's structured, unstructured, batch or streaming data. Make your integration pipelines ready for AI and the future.

Discover how to build and deploy a no-code, agentic AI platform with Snowflake Intelligence. See how organizations are bringing together structured and unstructured data to make insights accessible across their entire enterprise via an AI-driven agentic interface, all within Snowflake. Join us for a product overview, best practices discussion and live demo.

Snowflake's latest features, like Cortex, are revolutionizing how we approach AI and data innovation. But how do you build the robust, AI-ready data pipelines needed to power them without getting bogged down in complex coding and lengthy development cycles?

This hands-on lab reveals how to bridge that gap. Discover how Coalesce’s data transformation platform lets you harness Snowflake’s most powerful capabilities. We’ll show you how to automate the complex groundwork, freeing you to focus on delivering high-impact data and AI projects faster than ever. You’ll learn how to:

•Automate and accelerate pipeline development by 10x using ready-made templates to handle common data transformations •Seamlessly operationalize Snowflake Cortex, bringing powerful AI and ML functions directly into your data workflows in minutes •Master modern data engineering on Snowflake by simplifying the use of advanced features like Dynamic Tables, Iceberg Tables, and Snowpark automation. Get Ready for the Lab:

For the best hands-on experience, please sign up for a Snowflake trial account before the event. Once activated, create your Coalesce trial account via Snowflake’s Partner Connect portal.

This is a Hands-On workshop, all attendees must bring their own laptop to participate.