Rudderstack blog

This blog series on data maturity is designed to help you move forward confidently, without over-engineering your stack, sacrificing data control, or disrupting existing operations.

In this post, we'll explore real-world AI use cases across functional areas and industries, highlighting how generative models are changing the way companies operate and compete.

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.

We examine key differences between these platforms, focusing on the four critical areas where RudderStack delivers superior value. While they some similarities, RudderStack delivers all of the utility of Snowplow with none of the limitations.

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.

In this article, we'll break down the key components of modern data pipelines, weigh the trade-offs between building and buying, and walk through scenarios to help you make the right choice.

This guide walks through the core concepts behind modern data pipeline architecture: what it is, why it matters, how it’s evolved, and the key design patterns and principles used by high-performing data teams.

In this guide, we’ll explore the range of data types Snowflake supports, highlight when and why each is used, and provide practical guidance for building well-structured, efficient tables in your warehouse.

Data pipelines ingest, transform, and deliver data from disparate sources to downstream destinations. Discover everything you need to know here. Data pipelines are essential components of the modern data stack.