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
Automated data integration: Tools, tactics & architecture tips
In this post, we’ll explain how automation in modern data integration streamlines ingestion, transformation, and delivery workflows, especially in complex cloud environments.
Data centralization: Key concepts, benefits & how to implement
In this article, we’ll explore what data centralization entails, highlight its key benefits—from improved access to stronger governance—and walk through practical steps for building a centralized data strategy.
Data lake tools: Top 8 vendors & how to evaluate them
This article explores eight leading data lake solutions, highlighting their key strengths and how to evaluate them based on integration, scalability, governance, cost, and alignment with your data needs.
Data matching techniques: Best practices & challenges
In this article, we’ll explore the core techniques behind data matching—such as identity resolution and record linkage—along with the common challenges teams face and the best practices for improving match quality at scale.
Data integration architecture: Components & best practices
In this post, we’ll break down the core components of data integration architecture, compare different approaches, and outline best practices for building a system that delivers trusted, real-time insights across the business.
Real-time data integration: Benefits and use cases explained
In this article, we’ll break down the advantages of real-time integration, compare it to batch-based approaches, and explore practical use cases where real-time data delivers measurable impact across key business functions.
Data management framework: Components and best practices
In this article, we’ll break down the essential components of a modern framework: architecture, integration, governance, and security. We’ll also share practical strategies for building a system that ensures data remains trustworthy and actionable.
Managing concerns about event volume
Managing event volume efficiently isn't just about cost control; it's about maintaining data quality, ensuring system performance, and creating predictable operations as your data needs grow. Learn how in this blog post.
Data collection crossroads: When to use RudderStack or Google Tag Manager (or both)
In this post, we’ll review three options for how to implement RudderStack with Google Tag Manager, based on experience we’ve gathered across thousands of implementations.
