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
How Post Holdings Uses Snowflake for Data Science To Embrace Growth and Innovation
Join Snowflake experts and leaders from Post Holdings’ Decision…
On-Demand
Snowflakeの6ワークロード 第1回 ワークロードの基本 データウェアハウス編
6種類の異なるワークロードでSnowflakeをどう活用できるのか、技術的な特徴などを踏まえて解説する全6回のウェビナーシリーズ
On-Demand
Snowflakeの6ワークロード 第2回 データを取り込み加工する データエンジニアリング編
6種類の異なるワークロードでSnowflakeをどう活用できるのか、技術的な特徴などを踏まえて解説する全6回のウェビナーシリーズ
On-Demand
Snowflake x インフォマティカで実現するデータの真価を引き出すベストプラクティス #1
Snowflakeとインフォマティカソリューションによるデータの利活用のポイントや、データの「価値」を引き出すためのベストプラクティスを踏まえて解説する全3回のウェビナーシリーズ
On-Demand
7 Ways to Start Using Unstructured Data in Snowflake
Learn about Snowflake’s new support for unstructured data and how you can store, access,…
On-Demand
Snowflakeの6ワークロード 第3回 どんなデータも分析のために溜めておく データレイク編
6種類の異なるワークロードでSnowflakeをどう活用できるのか、技術的な特徴などを踏まえて解説する全6回のウェビナーシリーズ
On-Demand
Snowflake x ThoughtSpot が支える実践的データ利活用 ~苦労の中にきらめくワクワクが詰まった挑戦の記録
日本企業がDXを達成するための最重要課題であるデータ利活用へ取り組むにはなにをすればいいか、参加者のみなさんと一緒に考える90分間のセッションです。
On-Demand
Snowflake for Data Scientists: A Two-Part Training Series
This two-part series covers best practices for utilizing key features to significantly speed up…
On-Demand
How to use Snowflake Native Connectors for Machine Learning
An inside look at using Snowflake for data preparation and feature engineering.
On-Demand
Snowflakeの6ワークロード 第4回 過去の集計結果だけじゃ物足りない データサイエンス編
6種類の異なるワークロードでSnowflakeをどう活用できるのか、技術的な特徴などを踏まえて解説する全6回のウェビナーシリーズ
On-Demand
Snowflakeの6ワークロード 第5回 自社データだけじゃ意思決定できない データシェアリング編
6種類の異なるワークロードでSnowflakeをどう活用できるのか、技術的な特徴などを踏まえて解説する全6回のウェビナーシリーズ
On-Demand
Best Practices to Protect Data and Productivity with Business Continuity
Learn how Snowflake for business continuity can add resiliency and data portability…
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