Rudderstack blog
News from RudderStack and insights for data teams

Feature launch: Snowflake Streaming integration
Feature launch: Snowflake Streaming integration
With our Snowflake Streaming integration, you can get customer event data from every source into Snowflake faster (and save on your Snowflake bill!). Read the launch blog to learn more.
Unified data platform: How it works & why you need one
by Ryan McCrary
Understanding event data: The foundation of your customer journey
by Danika Rockett
Event streaming: What it is, how it works, and why you should use it
by Brooks Patterson

Shopify analytics without limits: How RudderStack powers advanced tracking and personalization
RudderStack hosted a webinar for Shopify merchants on going beyond native tracking to unlock richer insights, advanced analytics, and high-impact marketing. This post expands on the key takeaways.

So you've started using Snowflake to store and unify your customer data ... now what?
Having a powerful data cloud is just the beginning. To truly derive value from your customer data, you need a comprehensive ecosystem that handles everything from reliable data ingestion to actionable insights and operational activation.

Data maturity Phase 1: Build your foundation with streamlined collection
The first step to data maturity is building a solid collection foundation. Learn how to replace brittle, fragmented tracking with a unified, governed approach.

What data scalability is and how to plan for it
Building a scalable data infrastructure allows your organization to respond to market shifts, support more users, and deliver real-time insights with consistency and speed. This article explains how.

Make your data predictive: The Machine Learning phase
Discover how to advance to the Machine Learning phase of your data maturity journey, where customer data powers predictive models for churn, LTV, personalization, and more.

Act in the moment: The Real-time phase of data maturity
Take the final step in data maturity: real-time action. Learn how to turn machine learning insights into instant personalization, targeting, and recommendations that convert.

What is clickstream data? Definition, examples, and benefits
Clickstream data provides any business with a digital presence with information on visitor behavior. In face-to-face sales, reps can observe the actions of prospective customers and use their insights to connect with and convert new deals.

Deterministic vs. probabilistic models: A guide for data teams
This article compares deterministic vs probabilistic identity models for data teams. See when to use each, how they differ on accuracy, adaptability, and compliance, and how RudderStack Profiles enables a hybrid, warehouse-native approach.

What Is Data Movement? Definition and methods
Data movement simplifies the running of complex, business-critical data workflows. By integrating data and making it accessible across platforms leading to greater operational efficiency as well as security and compliance.