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
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.
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.
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.
Data Engineering: Perception vs. Reality
Many organizations don't exactly understand what data engineering is or what a data engineer does. This post highlights a few myths related to data engineering and talks more about their contribution to the business teams.
The Complete Customer Data Stack: Data Collection (Part 2)
In this post, we cover how to collect relational data from both cloud applications and databases, and we explore two other lesser but still important sources of 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.
Warehouse-First, the More Secure, Flexible, and Cost-Effective Application Architecture
Learn how eliminating black-box applications and building a warehouse-first data infrastructure can give you more data control, more flexibility with no duplicated data, and lower costs.
Why You Don’t Want a CDP Made for Marketers
Know everything about CDPs and the problems they solve. Also, know in which cases you should not go for a Customer Data Platform.
Why Data and Engineering Teams Need to Own the CDP
Why Data and Engineering should own CDP implementation & management. Here, we'll cover all of the benefits to Engineering led CDP implementation and management.
