Rudderstack blog
News from RudderStack and insights for data teams
Understanding event data: The foundation of your customer journey
Understanding event data: The foundation of your customer journey
Understanding your customers isn't just about knowing who they are—it's about understanding what they do. This is where clean, accurate event data becomes a foundational part of your business strategy.
Event streaming: What it is, how it works, and why you should use it
by Brooks Patterson
Data collection crossroads: When to use RudderStack or Google Tag Manager (or both)
by Luke Johnson
Data standardization: Why and how to standardize data
by Danika Rockett
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Why RudderStack Used Postgres Over Apache Kafka for Streaming Engine
In this post, we answer the all-important question – “Why we did not prefer Apache Kafka over PostgreSQL for building RudderStack.” We discuss some of the challenges with using Apache Kafka over our implemented solution that uses PostgreSQL.
Meaningful Lead Engagement Through Product Usage Enrichment
While democratizing product data across all areas of a company is important, placing customer usage data in the sales team’s hands unlocks their ability to have educated and well-timed conversations with potential customers.
The Data Engineering Megatrend: A Brief History
Earlier this year, Tomasz Tunguz gave a presentation on five trends in data and the "megatrend" that is powering them all. This post discusses the history of that data engineering megatrend over the past 20 years.
RudderStack + Blendo: Better Together
RudderStack acquires Blendo: Kostas Pardalis, the founder of Blendo, talks about why he decided to merge Blendo with RudderStack, building the team, and working on the product together.
The Stack of the Future: Building a Warehouse-First CDP on Snowflake Using RudderStack
Get to know about the building of the first warehouse CDP on Snowflake using RudderStack & explains the high-scale customer data needs by the engineering team.
Part 1: The Evolution of Data Pipeline Architecture
This blog talks about ETL, ELT, and the history, present, and future of data pipelines. You will know the good and bad things about various data pipeline approaches.
Part 2: The Evolution of Data Pipeline Architecture
In this post, we will go through a number of changes that have happened, both in the market and in terms of the technologies that are available. We will propose a new architecture that addresses the issues we mentioned in part 1.
What is Data Control?
Entire companies have been built on the value proposition of data control. But what exactly does it mean to have control over your data?
The Complete Customer Data Stack: Data Collection (Part 1)
Check out part one of our two-part series on data collection. You'll learn how to collect event data and why categories are important when it comes to data collection.
