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
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Data Infrastructure

Data pipeline monitoring: Tools and best practices
Data pipeline monitoring provides real-time visibility into data flow, helping teams detect issues early and ensure reliability across the data journey. This article explains how.

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.

Understanding customer intent: A guide to event tracking
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.

Big data tools: A guide for scalable data operations
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.

How we built RudderStack’s real-time personalization engine
Building RudderStack’s real-time personalization engine involved tackling the complexity of creating dynamic website and app experiences by leveraging a clean identity graph and comprehensive customer profiles

How we crafted a domain-specific language for JSON transformation at RudderStack
A guide for developers to create custom DSLs to address specific domain requirements, enhancing productivity and unlocking new possibilities in problem-solving.

Why Shopify will increasingly require data engineering expertise
In this post, we detail why Shopify success demands data engineering expertise and provide a roadmap to help retailers start doing more with their Shopify customer data.

Building the Data Foundation for AI
Organizations are increasing their investments in AI. Thousands of AI tools have flooded the market, but these tools fall short. To reach your AI goals, you must first invest in a solid data foundation in your warehouse.

Feature launch: Source-level geolocation enrichment
Now you can enrich your RudderStack payloads with geolocation data using a simple toggle. Enable enrichment at the source to send geolocation data to all compatible destinations.