Systems | Development | Analytics | API | Testing

How Flywheel Software Is Helping Organizations Activate Customer Data On Snowflake

Flywheel Software provides enterprise sales and marketing teams with a fast, easy way to build customer segments using first-party data stored in Snowflake. Once built, those lists can be easily exported to a wide range of marketing tools, including Facebook Ads, Google Ads, Salesforce, MailChimp and more. Join Snowflake's Daniel Myers and Flywheel Software's Tameem Iftikhar & Christopher Sell for a lively discussion and demo showing how Snowflake and Flywheel Software work together to deliver this powerful and invaluable service.

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.

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.

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.

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.

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.