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

Data models explained: Types, use cases, and examples
Discover how data models bring order to complexity by defining clear structures, types, and relationships—enabling reliable data, consistent reporting, and smarter decisions.

How Magic Eden captured 95% of the Solana NFT market with RudderStack
Magic Eden needed full control over how user data was captured, managed, and routed, all while ensuring compliance with the unique privacy requirements of Web3 ecosystems. RudderStack offered the flexibility they needed to build on their own terms.

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.

Data warehousing is not a strategy: How to maximize ROI from your warehouse investment
How to go beyond fulfilling the requirement of having a data warehouse and reach a place where your team, and the entire company, is utilizing data from the warehouse to create maximum business value.

Data maturity Phase 2: Centralizing your customer data
Many companies collect customer data, but it stays locked in silos. Learn why centralizing your data is the next critical step to unlock insights, build trust, and drive real business impact.

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.

AI infrastructure 101: Building the foundation for ML
In this guide, we'll break down what AI infrastructure means, including the core layers you need to support scalable model development, training, and deployment.

RudderStack: The essential customer data infrastructure
Learn how RudderStack's customer data infrastructure helps teams collect, govern, transform, and deliver real-time customer data across their stack—without the complexity of legacy CDPs.

Data modeling techniques for modern data warehouses
Data modeling is the foundation of any high-performing data warehouse. This article breaks down modeling types and how to take a layered modeling approach so you can deliver clean, well-structured data to your warehouse.







