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Snowflake

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.

Snowflake Announces Intent To Acquire Streamlit

Hear from Snowflake co-founder and President of Products Benoit Dageville and AdrienTreuille co-founder and CEO of Streamlit as they discuss what this strategic acquisition means to developers and data scientists. The two companies will join forces to unlock the unrealized potential of data by making it easier to build beautiful applications using tools they love with simplified data access and governance.

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?

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.