Secure Data Sharing
Every company collects, analyzes, and shares massive amounts of data. In this track, you’ll learn how market leaders use Snowflake Secure Data Sharing to generate more value from their data by instantly and securely sharing it with partners, suppliers, vendors, and customers. You’ll also learn about advanced data sharing methods available with Snowflake. Are you just getting started with Snowflake Secure Data Sharing and want to deliver more value to your customers? Or, maybe you want to generate new revenue streams with your data? Whatever your goal, you’ll learn new strategies for securely sharing governed data in real time instantly and more efficiently with Snowflake Secure Data Sharing.
Secure Data Sharing
Braze: Building Brand Awareness with Snowflake
Braze is a mobile marketing company that develops customer relationship management and mobile marketing automation software that businesses use to manage their mobile applications. This session will cover how Braze leverages Snowflake’s Secure Data Sharing to help brands discover personalized benchmarks that are unique to their maturity, sophistication, and success, as well as how these brands use that data to better understand their end-users and communicate with them as unique individuals.
Performance Without Compromise
Why should you have to compromise on any aspect of data warehousing? It’s silly to have to choose between performance, user concurrency, and sharing data between clients. With Snowflake, Springserve gets the best of all three, without having to make tradeoffs. In this session, learn how Springserve leverages multiple compute clusters to avoid resource trampling, automatically scale warehouses to save money, and enable data sharing to provide our clients with their data with no additional data exporting/loading jobs.
Atheon: Sharing the Wealth of Enriched Data Sets
Atheon Analytics provides SKUtrak and other visual analytics tools and services to the grocery retail and consumer goods sectors. Attend this session and learn how Atheon leverages Snowflake Secure Data Sharing to combine their data assets together with their customer’s data assets, then provide the information (free of charge) to their customer base to help analyze, address and solve real-world business problems.
Advanced Secure Data Sharing: Data protection, writeback, and sharing AI/ML models
A survey of advanced use cases of Secure Data Sharing, including raw data protection via secure UDFs, PII protection with secure joins, sharing AI/ML models, using streams and tasks for cross-share bi-directional change data capture and integration, and multi-tenant reader accounts. This session will demonstrate how Snowflake customer Braze uses two-way “writeback” secure data sharing.
Additional sessions will be added when available.