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
Generative AI risks and how to approach LLM risk management
Explore the top generative AI risks—hallucinations, data leakage, prompt injection, and compliance gaps—and learn strategies to detect, mitigate, and govern them effectively.
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.
Snowflake data integration: A guide for modern teams
In this guide, you'll learn how to approach ETL and ELT workflows, leverage Snowpipe for real-time ingestion, enforce governance, and reduce integration costs with best-in-class practices.
Behavioral segmentation: Examples, benefits, and tools
In this guide, you'll learn how behavioral segmentation works, explore real-world examples, and discover the tools modern teams use to power it. You'll also learn how RudderStack helps unify behavioral data across your entire stack in real time.
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.
Your practical roadmap to data maturity
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.
AI use cases: Real-world examples of generative AI in action
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.
