Other than statements of historical fact, all information contained in the presentations and accompanying oral commentary made available as part of these webinars (collectively, the “Materials”), including statements regarding (i) Snowflake’s business strategy and plans, (ii) new and enhanced products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, and (iv) the integration, interoperability, and availability of Snowflake’s products, services and technology offerings with and on third-party platforms, are forward-looking statements. These forward-looking statements are subject to a number of risks, uncertainties, and assumptions, including those described under the heading “Risk Factors” and elsewhere in the periodic reports on Form 10-Q and Form 10-K that Snowflake has filed and will file with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, the future events and trends discussed in the Materials may not occur, and actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forwarding-looking statements as predictions of future events.

Snowflake Webinars
Connect Critical Business Data Faster with Zero-copy Data Sharing
April 16
Spend less time on pipelines and more time delivering insights and AI use cases to your organization.
Learn MoreBuild Powerful AI Apps Using Anthropic Claude in Snowflake Cortex AI
April 22
Join us for a hands-on lab to learn how to build retrieval-augmented generation (RAG) and agent-based AI applications using the Sonnet model within Snowflake Cortex AI’s secure environment.
Register NowCarMax’s Data Journey: From On-Prem to Snowflake to Optimized Insights
April 23
Discover how CarMax successfully migrated 450+ data pipelines, 80+ TB of data, and 1,200+ BI reports from a complex, on-prem system to Snowflake in just 18 months.
Register NowData Engineering Connect
April 29
Learn how to master modern data engineering with real-world demos and hands-on labs. Join us live!
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On-Demand
Snowflake Office Hours: Simon
As a fast-growing startup, Simon needs the most modern and scalable data architecture possible. Learn how the team…
On-Demand
Snowflake Office Hours: Fair
After migrating to Snowflake, Fair can access all its data in seconds, enabling all its users to confidently…
On-Demand
How Rakuten Migrated the Data of 10 Million Customers to the Cloud
Join Rakuten’s VP of Analytics, Mark Stange-Tregear, on October 30 at…
On-Demand
Snowflake Office Hours: PowerChord
Join us in our Snowflake Office Hours with PowerChord on November 5, 2019.
On-Demand
Snowflake Office Hours: HOVER
HOVER transforms smartphone photos into accurate, interactive 3D models. HOVER has enabled their business to become data-driven through…
On-Demand
Snowflake Office Hours: edX
edX, an online teaching and learning platform providing Massive Open Online Courses (MOOC), needed to combine event and…
On-Demand
Snowflake Office Hours: Hashmap
Hashmap, a technology consulting services company operating across clouds, required more visibility for security and cost monitoring than…
On-Demand
Snowflake Office Hours: DriveTime
Snowflake has enabled us to scale and store more data, refreshed more frequently, quicker and simpler.
On-Demand
Architecting Modern Data Applications
Snowflake provides builders and developers of data-driven applications a ready-made data platform to build solutions that meet the…
On-Demand
Snowflake Office Hours: Lucid
With the Snowflake Cloud Data Platform, Lucid is able to scale compute and storage independently thereby saving on…
On-Demand
Snowflake Office Hours: SnapAV
Learn how Snowflake’s architecture provides SnapAV with robust data access control and the ability to deliver timely data…
On-Demand
Snowflake Office Hours: Frontline Education
Learn how Frontline leveraged Snowflake’s easy management interface and Snowflake Secure Data Sharing to create an automated…
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