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
Best Practices for Protecting Against Credential Theft and Data Exfiltration
Join us to learn more about network and authentication best practices and…
On-Demand
Build an ML Model to Crack the Code of Customer Conversions
This instructor-led lab will teach you how to build a model…
On-Demand
Replicate SAP Data to Snowflake with Qlik
Watch to learn how to use Qlik Replicate to bring SAP data into Snowflake and…
On-Demand
Accelerating Data Science and Analytics with Alteryx and Snowflake
Does your data science team spend hours preparing data for analysis? Snowflake and…
On-Demand
Attribution in a Cookieless World with Data Clean Rooms in the Data Cloud – EMEA
With the deprecation of third-party cookies, a new…
On-Demand
How Telecom Operators Can Embrace the Data Economy and Unlock New Revenue Streams – EMEA
Telcos strive to be data and insights-driven, and…
On-Demand
Snowflake Office Hours: Bringhub
Before Snowflake, Bringhub, tried several data warehouse solutions that couldn’t scale, were hard to manage and cost prohibitive.…
On-Demand
Snowflake Office Hours: Outsystems
OutSystems is a low-code platform that lets you visually develop your entire application, easily integrate with existing systems,…
On-Demand
Snowflake Office Hours: CareCloud
CareCloud implemented Snowflake to scale quickly and efficiently. Snowflake enabled democratized data analytics to serve all business users…
On-Demand
Snowflake Office Hours: Blackboard
Blackboard implemented Snowflake to realize their vision of the next generation digital learning environment. Ask how Blackboard is…
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