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 Ryan McCrary
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
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.
Data standardization: Why and how to standardize data
When teams cannot rely on their data, reporting slows down and decision-making becomes riskier. Learn how standardization addresses these challenges by creating a consistent structure that data can follow from the moment it enters your system.
How Zoopla transformed real estate experiences with data-driven personalization
Learn how Zoopla, a leader in the UK real estate space, transformed real estate experiences with data-driven personalization and RudderStack's customer data infrastructure.
How Masterworks built a donor intelligence engine with RudderStack
Understanding donor behavior is critical to effective nonprofit fundraising. As digital channels transform how people give, organizations face the challenge of connecting online versus offline giving.
How long does it take you to see a customer event? If it's over five seconds, you're missing out
Access to real-time customer data is no longer a luxury. This article explains how a modern, modern, real-time infrastructure can help you close the gap between customer intent and action—before it’s too late.
Understanding data maturity: A practical guide for modern data teams
The journey to data maturity isn't about having the most sophisticated tools or even the biggest volume of data. It's about taking the right steps at the right time to unlock value from the data you have.
Data life cycle: Stages, importance, and best practices
In this guide, we'll break down each phase of the data life cycle, explain why it matters, and share best practices to help you maximize the value of your data at every stage.
Data flow diagram: Components, purpose, and how to create
Complex systems can mask how data moves. Information passes through APIs, queues, databases, and tools, but tracking that movement isn’t always straightforward.Discover how a data flow diagram can help.
Data federation: Understanding what it is and how it works
Accessing and analyzing data across multiple tools and systems without duplicating or transferring can be a major challenge, especially when speed, accuracy, and cost control are priorities. This article explains how data federation can help.
