Systems | Development | Analytics | API | Testing

Unleashing the power of Java UDFs with Snowflake

Feb 8, 2022 By Snowflake In Snowflake
As part of the Snowpark developer experience, customers can execute Java user-defined functions (UDFs) packaged in a JVM right inside Snowflake’s powerful processing engine for better performance, scalability, and concurrency. These Java UDFs can be used for data preparation and enrichment pipelines, implementing custom business logic, and even to run machine learning model inference. In this session, Felipe Hoffa demonstrates how simple it is to get started with Java UDFs for your use case.
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SaaS Pricing Model Considerations when Powered by Snowflake

Feb 7, 2022 By Snowflake In Snowflake
As software companies gain more users or re-platform from traditional platforms to the cloud, they typically need to evolve the pricing models to provide value to the different customer segments and keep their competitive advantage. In today's video, you'll learn about the value of different SaaS pricing models and the advantages of enhancing your SaaS model with a consumption-based revenue stream. From user-based to usage-based pricing, learn how Snowflake’s platform can facilitate a consumption-based model.
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Control Issues: Overcoming Departmental Territorialism to Increase Data Sharing

Feb 7, 2022 By Derek Slater, Ready State In Snowflake

Here’s a scenario that might feel painfully familiar. Your marketing department captures customer leads, and passes them to the sales department. Marketing’s success is measured in part on the number and size of deals that result. But a squabble breaks out over how the sales department handles, nurtures, and attributes those conversions. Result: Neither department really wants to share their data.

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Data Programmability with Snowpark API and Java UDFs

Feb 4, 2022 By Snowflake In Snowflake
Not every developer wants to write in SQL, nor does SQL naturally handle every data programmability problem. This leads users to pull their data into other systems, which adds cost, time, and complexity while hurting security and governance. Snowflake is continuously making the platform more developer-friendly and extensible so more can be done with less. In this session, we discuss the present and future of Snowflake's extensibility, including Java UDFs and Snowpark. We'll also demo many exciting features in our roadmap and explore the scenarios they unlock.
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Failover Across Clouds

Feb 3, 2022 By Snowflake In Snowflake
In this extended demo, Sahaj Saini shows you how Snowflake can replicate data and account metadata (like users, roles, compute resources, resource monitors, etc...) and failover these over across cloud providers on demand. For the fictional company, Style Me Up, he'll demonstrate how to set up replication with failover groups and trigger a failover and redirect client applications.
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Snowflake Unlocks Data Value While Safeguarding Privacy for Both Roku and ViacomCBS

Feb 2, 2022 By Snowflake In Snowflake

In the past, data leaders had to manage a balancing act between data access and governance. Granting too much access meant opening up the business—and the privacy of consumers—to risk. But if you hold back data, you can’t deliver great experiences and value to customers. The Snowflake Media Data Cloud empowers companies to let go of the balancing act. They now have a single platform to store, govern, and share data while maintaining strict data governance.

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How to Get Funnel Insights in Snowflake | Demo

Jan 28, 2022 By Snowflake In Snowflake
Funnel is a Snowflake partner that collects data from more than 500 marketing apps and platforms, helps you define metrics and aggregations, and normalize the values between providers. Let’s say you are a retailer and you place ads with Google, Bing, Twitter, Facebook, Quora, etc. This means you have an account for each of these ad networks, making it challenging to track all your data, in different places. With Funnel and Snowflake, you can bring and track all that data in one place.
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Snowflake for Data Lakes and Beyond

Jan 27, 2022 By Snowflake In Snowflake
Organizations are faced with the difficult task of designing architectures to make the most of their data, often resulting in complex systems that are difficult to maintain and scale. Snowflake’s platform supports a variety of data types and workloads at scale, so organizations can easily implement their architectural design pattern of choice, including data lakes, data warehouses, and more. In this session, hear from product managers Saurin Shah and James Malone on Snowflake’s vision for data storage to simplify data architectures, including demos of recent innovations.
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