November 14-17, 2023 | USA
PASS Data Community Summit is the go-to conference for data professionals to connect, share, and learn with peers and industry leaders.
Summit happens in the Fall in Seattle, WA, and runs over 5 days, November 13-17. There are two days of Pre-Cons on Monday and Tuesday, and three days for the main conference Wednesday through Friday. Find out more about key timings for the week.
June 26-29, 2023 | USA
How you approach data will define what’s possible for your organization. Data engineers, data scientists, application developers, and a host of other data professionals who depend on the Snowflake Data Cloud continue to thrive thanks to a decade of technology breakthroughs. But that journey is only the beginning.
Attend Snowflake Summit 2023 to learn how to access, build, and monetize data, tools, models, and applications in ways that were previously unimaginable. Enable seamless alignment and collaboration across these crucial functions in the Data Cloud to transform nearly every aspect of your organization.
At Summit, you’ll hear all about the latest innovations coming to the Data Cloud, and learn from hundreds of technical, data, and business experts about what’s possible for you and your organization in a world of data collaboration.
October 3-5, 2023 | USA
Learn how leading innovators are harnessing the power of data to accelerate business outcomes.
DataDriven23 is a modern data management conference where the world's leading data innovators come together -- where experts, thought leaders, and peers connect and gain the expertise to unlock the value of data, stay ahead of the curve, and maximize impact on their businesses every day. Reltio, together with leading partners and experts, brings this inspiring event to data innovators.
October 17, 2023 | UK
To effectively manage the explosion of data volumes and deliver high-performance analytics, many businesses are choosing to move to a data lakehouse, an architecture that combines the flexibility and scalability of data lake storage with the data management, governance, and analytics capabilities typically associated with a data warehouse.