Systems | Development | Analytics | API | Testing

February 2022

Data Classification Now Available in Public Preview

Organizations trust Snowflake with their sensitive data, such as their customers’ personal information. Ensuring that this information is governed properly is critical. First, organizations must know what data they have, where it is, and who has access to it. Data classification helps organizations solve this challenge.

Unlocking New Revenue Models in the Data Cloud

Today’s applications run on data. Customers value applications not only for the functionality they provide, but also for the data itself. It may sound obvious, but without data, apps would provide little to no value for customers. And the data contained in these applications can often provide value beyond what the app itself delivers. This begs the question: Could your customers be getting more value out of your application data?

Snowpark Explained In Under 2 Minutes

What if there was a way to enable your entire team to collaborate securely on the same data in a single platform that just works, regardless of language? Snowpark is here to help. Supercharge your data team to securely build scalable, optimized pipelines, and quickly and efficiently execute machine learning workflows, with your choice of language.

How Monte Carlo Built A Data Reliability Platform On Snowflake

In today's episode, Daniel Myers from Snowflake interviews Lior Gavish, co-founder of Monte Carlo. Monte Carlo is a data reliability platform built on Snowflake that helps teams trust their data by eliminating data downtime. Powered by Snowflake is a series where we interview technology leaders who are building businesses and applications on top of Snowflake.

Connected Apps or Managed Apps: Which Model to Implement?

We recently wrote about the interest we’re seeing in connected applications that are built on Snowflake. Connected applications separate code and data such that the app provider creates and maintains the application code, while their customers manage their own data and provide their data platform for processing the application’s data. Some of our partners choose the connected application model because it has benefits for both customers and application providers.

Operationalizing Data Pipelines With Snowpark Stored Procedures, Now in Preview

Following the recent GA of Snowpark for our customers on AWS, we’re happy to announce that Snowpark Scala stored procedures are now available in preview to all customers on all clouds. Snowpark provides a language-integrated way to build and run data pipelines using powerful abstractions like DataFrames. With Snowpark, you write a client-side program to describe the pipeline you want to run, and all of the heavy lifting is pushed right into Snowflake’s elastic compute engine.

Snowpark For Python In 2 Minutes

What if there was a way to enable your entire team to collaborate securely on the same data in a single platform that just works, regardless of language? Snowpark is here to help. Supercharge your data team to securely build scalable, optimized pipelines, and quickly and efficiently execute machine learning workflows while working in Python.

Piano Brings Advanced Analytics to Customer-Centric Organizations with Snowflake

Piano is a leading provider of software and services that help organizations better understand their audiences across digital channels. With these insights in hand, Piano customers can intelligently serve audiences with personalized experiences that keep them engaged and drive revenue, all through a single unified platform.

Unleashing the power of Java UDFs with 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.

SaaS Pricing Model Considerations when Powered by 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.

Control Issues: Overcoming Departmental Territorialism to Increase Data Sharing

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.

Data Programmability with Snowpark API and Java UDFs

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.

Failover Across Clouds

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.

Snowflake Unlocks Data Value While Safeguarding Privacy for Both Roku and ViacomCBS

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.