The Quix blog

Companies building the modern data stack gathered this week to discuss the challenges, shortcuts and benefits of stream processing. Here’s what you need to know.

Data’s value depends on how you use it. We’ll look at three ways to increase the value you get from the data you’re already collecting.

The April 2022 edition of The Stream: covering this month in stream processing on the internet.

“Dark data” is the data being collected and stored without a plan for future use. It’s often dumped into data lakes with little to no thought for how it could actually be used in the future — that’s someone else’s problem.

Twelve questions with Quix’s lead product designer and visual designer on integrating brand and product design.

The data maturity model starts with data silos and ends with automation and machine learning. Here’s how to move through the journey and overcome the challenges of each.

Our CEO summarizes Gartner’s “Market Guide for Event Stream Processing” and offers guidance to business leaders navigating the market of data tools.

The March 2022 edition of The Stream: covering this month in stream processing on the internet.

Connector? Confluent? Cluster? Keep this article nearby to define tricky and emerging terms in stream processing.

Looking to level up your data career? Whether you’re a developer, data engineer, data scientist or someone else who happens to work with data, these upcoming events offer you the opportunity to learn new skills and meet new people.

Last decade, companies wrestled with big data. The new challenge is how to handle data fast. Here’s how market leaders generate more value by processing and acting on data immediately.

The February 2022 edition of The Stream: covering this month in stream processing on the internet.

How to make data processing more resilient for mission-critical applications: it starts with better (and easier to manage) data pipelines.

The January 2022 edition of The Stream: covering this month in stream processing on the internet.

Move over, subscription pricing. Usage-based pricing maximizes the value of a service for product-led growth, building trust and transparency in the process.

Five industry experts forecast how our approach to data will be transformed. Batch vs. stream processing? On-prem vs. cloud? Data lake or data mesh?

The December 2021 edition of The Stream: covering this month in stream processing on the internet.

Data scientists and engineers are frustrated by the challenges of scaling data infrastructure. They know what’s needed, but they lack the time, resources and expertise to implement and maintain it.‍