Rudderstack blog

Entire companies have been built on the value proposition of data control. But what exactly does it mean to have control over your data?

Customer interactions tell a story, but capturing them is just the beginning. This post provides guidelines for event tracking and how it can help you understand customer intent.

This guide explores the principles and applications of streaming data integration, including why it matters, how it works, and what it takes to make it reliable at scale.

In this post, we’ll explain how automation in modern data integration streamlines ingestion, transformation, and delivery workflows, especially in complex cloud environments.

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.

In this guide, we’ll break down the core categories of big data tools, explain how they work together to support scalable data operations, and outline key features to consider when evaluating solutions.

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.

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.

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.