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Virtual Event

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.

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Virtual Hands-on Lab

Build 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.

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CarMax’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.

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Virtual Event

Data 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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Webinar

May 21, 3020

How Autodesk Achieves Fast, Reliable Data Pipelines with Snowflake and Fivetran

Join us on May 21 to learn how the Autodesk’s ACS…

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On-Demand

Snowflake Office Hours: Second Nature

After Second Nature implemented Snowflake, with the help of Fivetran, they consolidated their data sources, enabling them…

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On-Demand

Financial Services Industry Roundtable

Join industry experts from Sallie Mae, Coupa, Deloitte Consulting LLP, and Snowflake as they discuss data analytics, their…

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On-Demand

Webinar: Snowflake on Azure Switzerland

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On-Demand

Lunch & Learn: Ready For The Data Cloud

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On-Demand

Snowflake Office Hours: Dynata

Dynata, a global online market research firm, had relied on a legacy on-premises environment that saw difficulty to…

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On-Demand

Snowflake Office Hours: Collaborative Imaging

In order to support its rapid growth and ever-growing data initiatives, Collaborative Imaging looked to Snowflake’s Cloud…

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On-Demand

Snowflake Office Hours: Capital on Tap

In this week’s Office Hours, hear how Capital On Tap used Snowflake to translate its data…

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On Demand

Unleash the Power of Data Science

Join us to learn how to leverage Snowflake’s unlimited and affordable data storage and compute resources…

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On-Demand

Snowflake Office Hours: StackHawk

Application security company StackHawk needed to derive value from its semi-structured data. With Snowflake Cloud Data Platform at…

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On-Demand

AWS DevDay – Building Modern Machine Learning Applications

Snowflake and AWS (Amazon SageMaker) are bringing you a series of DevDay events to show…

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On-Demand

AWS DevDay – Building Modern Machine Learning Applications

Snowflake and AWS (Amazon SageMaker) are bringing you a series of DevDay events to show…

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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.

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