Streaming data has been historically complex and costly to work with. That's no longer the case with Snowflake's streaming capabilities. Together, Snowpipe Streaming and Dynamic Tables (in public preview) break the barrier between batch and streaming systems. Now you can build low-latency data pipelines with serverless row-set ingestion and declarative pipelines with SQL. You can easily adapt to your business requirements to change latency as a single parameter.

Join Felipe Hoffa and Scott Redding, Sr Solutions Architect, as they discuss query tags, query fingerprinting, and warehouse size for queries to optimize cost.

Leverage the Snowflake Native App Framework to build, market, monetize, and distribute an app to customers across the Data Cloud seamlessly and securely. Public Preview on AWS. Private Preview on GCP and Azure.

EDF, the UK's leading home and business gas and electricity company, has a mission to help Britain achieve net zero greenhouse gas emissions. With the Snowflake Data Cloud, EDF has built a customer intelligence platform to help its customers save energy and money, ultimately helping Britain achieve that Net Zero benchmark. By using Snowpark, EDF can transform large processes with billions of rows of data and have its data science team run ML models directly where the data sits.

Nearly every enterprise is assessing the potential for Generative AI to better serve their users and customers. Join this CEO fireside chat with Jensen Huang from NVIDIA and Snowflake’s Frank Slootman as they discuss trends in Generative AI and accelerated computing, the pace of disruption, and the impact on every industry and business model. Sarah Guo, former Greylock general partner and current founder and CEO of Conviction, moderates.

In the fast-changing world of generative AI and large language models (LLMs), it can be especially challenging to sift through the buzz and prioritize which use cases will have the biggest impact on your business. Join Christian Kleinerman, SVP Product at Snowflake, for a moderated discussion with some of the leaders in this space as they share their perspectives, predictions, and thoughts on what enterprises should consider when adopting this technology.

As the world's largest biotech company, Roche has goals of doubling patient access to novel diagnostics solutions and achieving medical advances at half the cost to society. Compliantly and securely delivering data products and democratizing data consumption in a decentralized environment are critical to reaching these goals. To support this ambition, Roche's Data & Analytics Team had to solve data access management, security, and governance at scale. Paul Rankin, Head of Data Mesh Platform at Roche, describes how they used Snowflake's security architecture and data marketplace to power Roche's self-service data and analytics platform stack.

Snowflake has been on a journey to break down silos to help organizations put their data to work. From high-performance analytics at scale to global collaboration across shared data to enabling full programmability without sacrificing governance, Snowflake continues to redefine what's possible with data... and we're just getting started.

Healthcare and life sciences organizations are under unprecedented pressure to adapt and respond to changing patient needs, regulations, and market conditions. Snowflake’s Healthcare & Life Sciences Data Cloud enables healthcare and life sciences organizations to securely leverage the full potential of data to help deliver exceptional patient and business outcomes and accelerate medical innovation, while ensuring the highest levels of data security, governance, and compliance.

Join host Felipe Hoffa joined by Snowflake Product Manager Samartha Chandrashekar and Developer Advocate Gilberto Hernandez as they discuss best practices and recommendations on cost optimization including getting visibility into cost, warehouse optimization, warehouse utilization, and more.