Data is the lifeblood of modern businesses, but ensuring its reliability and performance across complex pipelines is harder than ever. Beyond infrastructure and applications, organizations must monitor data jobs, streams, and databases to guarantee trustworthy, high-quality data delivery.

In this session, we’ll show how Datadog’s unified observability platform provides end-to-end data observability—from monitoring data jobs and detecting quality issues, to observing streams and databases in real time. By connecting these capabilities, Datadog helps teams proactively catch issues, accelerate root cause analysis, and optimize both reliability and cost. Attendees will leave with a clear roadmap to evolve from monitoring to true data observability, aligning data teams, SREs, and business stakeholders.

Learn how GSK implemented Iceberg on Snowflake and Azure Data Lake, enabling seamless interoperability across multiple compute platforms. Discover how this architecture empowers teams to leverage their preferred analytics tools while maintaining data consistency and governance. We’ll share our MVP journey, technical challenges, and how this approach delivers platform flexibility while avoiding vendor lock-in. Learn practical strategies for implementing open table formats in regulated industries.

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.

Join this session to learn about best practices and real-world examples for migrating data engineering and Spark workloads to Snowflake. We’ll cover legacy vs. Snowflake architecture and migration methods such as Iceberg and Delta direct, and we’ll share pros and cons of integrating components such as Unity Catalog, Apache Iceberg™ tables and native Snowflake tables. Plus, we’ll explore automated code conversion with the Snowpark Migration Accelerator, workflow orchestration with Snowflake Tasks and key data validation and observability techniques to ensure a smooth migration.

Building and managing data transformation pipelines can be complex and costly. In this session, learn how to use Snowflake’s automation and managed services to streamline development, reduce infrastructure overhead, and improve debugging with built-in telemetry. Discover best practices for creating scalable, cost-efficient pipelines–and let your team can focus on insights, not maintenance.

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.

Learn how to streamline governance and security for data and AI with Snowflake’s latest updates to Horizon Catalog. Join us for new product overviews and live demos covering interoperability, Trust Center, MFA updates, Copilot for Horizon Catalog, sensitive data, data quality, lineage, and more.

Learn how to efficiently run analytics over unstructured data, geospatial data and other advanced formats with Snowflake’s latest SQL functions. Join us for new product and feature overviews, best practices and live demos.

Snowflake ML enables efficient development and deployment of advanced models without any data movement. With multi-GPU support, MLOps integration and Git-based workflows, Container Runtime provides a scalable environment for training, and Snowflake ML’s products such as Model Registry and Model Serving make it easy to deploy these models in production. This session explores best practices for scalable ML workflows and the creation of production-ready ML pipelines in Snowflake.

Learn how to seamlessly build, distribute, and deploy advanced enterprise-grade AI and data apps with efficiency. Discover built-in tools and programs that streamline commercialization for both you and your customers. Join us for new product and feature overviews, best practices, and live demos.

Learn how to build and deploy accurate conversational apps and bring AI-powered data agents into production with ease and trust across your enterprise. Join us for new product insights, feature overviews, best practices and live demos.

In this session, We will enable CDAO’s Enterprise Data Strategy by exploring the full lifecycle from the concept of data products—packaged, readily consumable data assets—to their distribution through Snowflake’s internal marketplace.

We will drive home 5 key points within this data product lifecycle:
1. Simplified data access for business users
2. Improved data discoverability and understanding
3. Increased data utilization and adoption
4. Accelerated time to insight
5. Metrics & Considerations

Data clean rooms are rapidly evolving from privacy-preserving data collaboration environments into powerful engines for AI- and ML-driven insights. This session will dive into the technical architecture and product capabilities enabling clean rooms to support advanced use cases across the marketing lifecycle — from identity resolution and lookalike modeling to cross-channel attribution and real-time optimization. Beyond advertising, we’ll examine how these innovations are scaling into verticals like retail and healthcare, where secure data collaboration is unlocking next-gen personalization, predictive analytics and clinical insights.

Learn how to minimize complexity in compute management with Snowflake Adaptive Compute, which powers even easier to use and more performant Snowflake Adaptive Warehouses. Join us to learn more about these new compute innovations, best practices, and live demos.

Whether you’re looking to expand your Snowflake knowledge and skills or open new career opportunities, being able to demonstrate your expertise through SnowPro Certification will help you stand out in the data community and strengthen your career profile. Join our Snowflake experts as they cover how they best prepare for the Snowflake SnowPro Certification program. Learn about the resources available for the SnowPro certification and discuss strategies for acing the exam.

Learn how to seamlessly build, distribute, and deploy advanced enterprise-grade AI and data apps with efficiency. Discover built-in tools and programs that streamline commercialization for both you and your customers. Join us for new product and feature overviews, best practices, and live demos.