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New Snowflake Features Released in February 2022

February brought a number of exciting enhancements, especially for customers building and running data pipelines in Snowflake, including support for Snowpark stored procedures and flexible task execution. Additionally, customers get improved impact analysis through support for object dependencies, and we continue to expand Snowflake’s global reach with the regional availability of UAE North (Dubai) on Azure. Read on for more!

NN Investment Partners' Papyrus Team Delivers End-to-End Data Visualization with Snowflake's Data Cloud

Marcel Naumann, Senior Engineer Investment at NN Investment Partners, sees a future where fluid, easily accessible data and insights help portfolio managers achieve returns while investing in a responsible manner. We spoke with Naumann to learn how he’s making this future a reality with the Snowflake Data Cloud. NN Investment Partners (NN IP) manages assets for investors across 37 nations.

Building Iterable's Data Mesh Using Snowflake: Three Components of an Innovative Data Management Strategy

Big data has been revolutionizing the digital marketing landscape: organizations are gathering data from numerous sources; data streams are being collected at unparalleled speeds; and businesses are dealing with a variety of data structures, from emails to user behaviors to financial transactions.

Democratizing Data Apps - Snowflake to Acquire Streamlit

Over the past few years, we’ve seen incredible growth in the number of data apps being built on Snowflake, including large customer-facing apps from companies such as BlackRock, Instacart, Lacework, and others. We’re proud of the fact that our platform helps developers bring these applications to life faster, scale better, and provide more powerful insights to their users, whether they be employees, partners, or customers.

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?

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.

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.