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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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Webinar

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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Snowflake on Snowflake Webinars

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Virtual Hands-On Labs

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Snowflake Live Demo

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Thought Leadership

On-Demand

From 24 Hours to 9 Minutes: Complex Data Processing with Snowflake at Genuine Parts

Learn why the data engineering team at Genuine Parts choose…

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Webinar

On-Demand | 3:00 PM ET

Data Champions MasterBuilder Series: Make Data Work to Solve a Mystery – Part 3

July 22, 2021 The 2021 season of Data Champions: MasterBuilder Series…

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Product Demo

On-Demand

Snowflake Live Demo: Taking AI to the Next Level with Model Inference in Snowflake with Dataiku

Learn how to take AI to…

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Thought Leadership

On-Demand

How Post Holdings Uses Snowflake for Data Science To Embrace Growth and Innovation

Join Snowflake experts and leaders from Post Holdings’ Decision…

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Webinar

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

今見る

Webinar

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

今見る

Webinar

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

 

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Thought Leadership

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,…

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Webinar

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

今見る

Webinar

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。

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Thought Leadership

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…

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Thought Leadership

On-Demand

How to use Snowflake Native Connectors for Machine Learning

An inside look at using Snowflake for data preparation and feature engineering.

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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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