The Quix blog
Industry insights
December 19, 2024
The challenges of processing data from devices with limited connectivity and how to solve them
Need to process data from frequently disconnected devices? Better use an event streaming platform paired with a powerful stream processing engine. Here's why.
Industry insights
December 10, 2024
Rethinking “Build vs Buy” for Data Pipelines
“Build vs buy” is outdated — most companies need tools that provide the flexibility of a build with the convenience of a buy. It’s time for a middle ground.
Industry insights
November 14, 2024
How to Empower Data Teams for Effective Machine Learning Projects
Learn how to boost success rates ML projects by empowering data teams through a shift-left approach to collaboration and governance.
Industry insights
November 14, 2024
Gaming & ML: How Real-Time ML Enhances Player Experience
Discover the benefits, applications and challenges of real-time ML in gaming, and learn how game development studios are implementing real-time ML systems.
Industry insights
November 1, 2024
Shifting Left: Discover What's Possible When You Process Data Closer to the Source
Learn how 'shifting left' in data engineering improves data quality by processing it closer to the source, following Netflix's example and modern best practices
Industry insights
October 17, 2024
The Power of Real-Time Data in Modern Gaming Live Operations (Live Ops)
Learn how Live Ops and real-time data analytics transform gaming, enabling developers to enhance player retention, optimize monetization, and improve gameplay.
Industry insights
September 24, 2024
AI Anti-Cheat Solutions and Real-Time Data: The Antidote to AI-Driven Cheating in Gaming
Discover how AI-driven cheating is poisoning online gaming and learn why real-time data processing is crucial for effective, custom AI anti-cheat solutions.
Industry insights
September 24, 2024
Real-Time Analytics for Gaming: Transforming Player Experience and LiveOps in Modern Gaming
Real-time gaming analytics offer a competitive edge, enabling game developers to create more engaging, personalized, and responsive gaming experiences.
Industry insights
March 26, 2024
Navigating stateful stream processing
Discover what sets stateful stream processing apart from stateless processing and read about its related concepts, challenges and use cases.
Industry insights
March 14, 2024
A guide to windowing in stream processing
Explore streaming windows (including tumbling, sliding and hopping windows) and learn about windowing benefits, use cases and technologies.
Industry insights
March 14, 2024
What is real-time feature engineering?
Pre-computing features for real-time machine learning reduces the precision of the insights you can draw from data streams. In this guide, we'll look at what real-time feature engineering is and show you a simple example of how you can do it yourself.
Industry insights
February 6, 2024
Streaming ETL 101
Read about the fundamentals of streaming ETL: what it is, how it works and how it compares to batch ETL. Discover streaming ETL technologies, architectures and use cases.
Industry insights
December 22, 2023
LLMOps: running large language models in production
LLMOps is a considered, well structured response to the hurdles that come with building, managing and scaling apps reliant on large language models. From data preparation, through model fine tuning, to finding ways to improve model performance, here is an overview of the LLM lifecycle and LLMOps best practices.
Industry insights
December 21, 2023
What is stream processing?
An overview of stream processing: core concepts, use cases enabled, what challenges stream processing presents, and what the future looks like as AI starts playing a bigger role in how we process and analyze streaming data
Industry insights
October 11, 2023
The what, why and how of event-driven programming
Discover event-driven programming (EDP) use cases and technologies, and learn about the relation between EDP and event-driven architecture (EDA).
Industry insights
August 23, 2023
The anatomy of a machine learning pipeline
Explore the characteristics, challenges, and benefits of machine learning pipelines, and read about the steps involved in training and deploying ML models to production.
Industry insights
July 14, 2023
The fundamentals of real-time machine learning
What is real-time machine learning? How is it different from batch ML? What are common real-time ML use cases? What are the challenges of building real-time ML capabilities? All these questions and more are answered in this article.
Industry insights
July 13, 2023
Real-Time infrastructure tooling for data scientists
Explore the evolution of new tools for real-time pipelines that aim to solve the ongoing problem of data scientists' need for more infrastructure expertise.