Rudderstack blog

Having a powerful data cloud is just the beginning. To truly derive value from your customer data, you need a comprehensive ecosystem that handles everything from reliable data ingestion to actionable insights and operational activation.

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.

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.

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.

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.

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.

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.

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 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.