Systems | Development | Analytics | API | Testing

Data Programmability with Snowpark API and Java UDFs

Not every developer wants to write in SQL, nor does SQL naturally handle every data programmability problem. This leads users to pull their data into other systems, which adds cost, time, and complexity while hurting security and governance. Snowflake is continuously making the platform more developer-friendly and extensible so more can be done with less. In this session, we discuss the present and future of Snowflake's extensibility, including Java UDFs and Snowpark. We'll also demo many exciting features in our roadmap and explore the scenarios they unlock.

Failover Across Clouds

In this extended demo, Sahaj Saini shows you how Snowflake can replicate data and account metadata (like users, roles, compute resources, resource monitors, etc...) and failover these over across cloud providers on demand. For the fictional company, Style Me Up, he'll demonstrate how to set up replication with failover groups and trigger a failover and redirect client applications.

Snowflake Unlocks Data Value While Safeguarding Privacy for Both Roku and ViacomCBS

In the past, data leaders had to manage a balancing act between data access and governance. Granting too much access meant opening up the business—and the privacy of consumers—to risk. But if you hold back data, you can’t deliver great experiences and value to customers. The Snowflake Media Data Cloud empowers companies to let go of the balancing act. They now have a single platform to store, govern, and share data while maintaining strict data governance.

How to Get Funnel Insights in Snowflake | Demo

Funnel is a Snowflake partner that collects data from more than 500 marketing apps and platforms, helps you define metrics and aggregations, and normalize the values between providers. Let’s say you are a retailer and you place ads with Google, Bing, Twitter, Facebook, Quora, etc. This means you have an account for each of these ad networks, making it challenging to track all your data, in different places. With Funnel and Snowflake, you can bring and track all that data in one place.

Snowflake for Data Lakes and Beyond

Organizations are faced with the difficult task of designing architectures to make the most of their data, often resulting in complex systems that are difficult to maintain and scale. Snowflake’s platform supports a variety of data types and workloads at scale, so organizations can easily implement their architectural design pattern of choice, including data lakes, data warehouses, and more. In this session, hear from product managers Saurin Shah and James Malone on Snowflake’s vision for data storage to simplify data architectures, including demos of recent innovations.

Expanding the Data Cloud with Apache Iceberg

The Snowflake Data Cloud is a powerful place to work with data because we have made it easy to do difficult things with data, such as breaking down data silos, safely sharing complex data sets, and querying massive amounts of data. As customers move to the Data Cloud, their needs and timelines vary—our goal is to meet every customer where they are on their Data Cloud journey.

How William Hill Pivoted to Real-Time Data and Personalised Customer Experiences

Founded in 1934 as a postal and telephone betting service, William Hill was historically synonymous with the world of horse racing. Since then, the company has continued to grow into other sporting avenues, with the retail arm—which opened in 1966—now amounting to more than 1,400 shops. Fully embracing the potential of the digital revolution, the company now comprises over 10,000 employees over six brands, operating through offices in ten countries.