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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Snowflake Office Hours: DriveTime
Snowflake has enabled us to scale and store more data, refreshed more frequently, quicker and simpler.
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Architecting Modern Data Applications
Snowflake provides builders and developers of data-driven applications a ready-made data platform to build solutions that meet the…
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Snowflake Office Hours: Lucid
With the Snowflake Cloud Data Platform, Lucid is able to scale compute and storage independently thereby saving on…
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Snowflake Office Hours: SnapAV
Learn how Snowflake’s architecture provides SnapAV with robust data access control and the ability to deliver timely data…
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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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Snowflake Office Hours: QuoteWizard
Learn how QuoteWizard integrated Snowflake with their application databases and ETL tools to support a modernized cloud data…
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Snowflake Office Hours: Drizly
With Snowflake Cloud Data Platform, Drizly was able to achieve its data-sharing requirements, as well as meet its…
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Snowflake Office Hours: Exchange Solutions
Learn how the addition of Snowflake has accelerated productivity and removed many of the dependencies on multiple…
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Snowflake Office Hours: Auryc
Learn how Auryc is able to run queries much faster and also share data with customers more easily…
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Snowflake Office Hours: Picnic
Learn how Picnic, the world’s fastest-growing online supermarket, provides each customer with a unique shopping experience using Snowflake.
On-Demand
SNOWFLAKE ON-DEMAND: DATA LAKE WEBINARS
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