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
Data pipeline architecture: A guide to better design
This guide walks through the core concepts behind modern data pipeline architecture: what it is, why it matters, how it’s evolved, and the key design patterns and principles used by high-performing data teams.
Snowflake data types: A comprehensive reference guide
In this guide, we’ll explore the range of data types Snowflake supports, highlight when and why each is used, and provide practical guidance for building well-structured, efficient tables in your warehouse.
What is a data pipeline? Best practices and use cases
Data pipelines ingest, transform, and deliver data from disparate sources to downstream destinations. Discover everything you need to know here. Data pipelines are essential components of the modern data stack.
Dimensional data modeling: What it is and how to apply it
This post offers a practical look at what dimensional modeling is, how it helps organize data for performance and usability, and why it's still foundational for teams working with modern data stacks.
What data scalability is and how to plan for it
Building a scalable data infrastructure allows your organization to respond to market shifts, support more users, and deliver real-time insights with consistency and speed. This article explains how.
Data control: What it means and how to manage it
Entire companies have been built on the value proposition of data control. But what exactly does it mean to have control over your data?
Lessons from scaling PostgreSQL queues to 100k events per second
This post discusses the details of some critical, hard-won lessons our team learned while maturing PostgreSQL into a highly performant and resilient queuing system.
How AI data integration transforms your data stack
This article breaks down what AI data integration means, explores key benefits like faster time-to-insight and improved data quality, and walks through practical use cases and implementation strategies.
Enterprise data integration: Importance, tools, and best practices
In this article, we'll break down what enterprise data integration is, why it matters, the tools and architectures that support it, and best practices to ensure your integration strategy scales with your business.
