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 Brooks Patterson
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
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.
AI data quality: Ensuring accuracy in machine learning pipelines
This article explores how data quality directly impacts AI performance. It outlines root causes of data degradation, key prevention strategies, and how RudderStack helps teams build AI-ready pipelines.
Real-time vs. warehouse-gated: Finding the right balance for your customer data infrastructure
The future of customer data infrastructure isn't about choosing between warehouse-gated or real-time architectures—it's about intelligently combining both approaches to meet your business needs. Learn how to strike the right balance for your business
Data matching techniques: Best practices & challenges
In this article, we’ll explore the core techniques behind data matching—such as identity resolution and record linkage—along with the common challenges teams face and the best practices for improving match quality at scale.
