Why is streaming data so hard to handle?

Why is streaming data so hard to handle?

Handling streaming data is not for the faint of heart or thin of wallet. In this post, Quix CTO Tomáš Neubauer digs into why streaming data can be so difficult to set up, complicated to manage, and costly for teams.

How to become a data scientist

How to become a data scientist

(Or develop yourself if you’re already one).   I often get asked questions like: How did you get into Data Science? How do I transition from Industrial Engineering into Data Science? and, What skills do I need to learn to be a good data scientist? So I decided to...

What is real-time stream processing?

What is real-time stream processing?

You’ve probably heard the buzz about stream processing. You might’ve heard it referred to as event processing and you might’ve also heard about something called real-time analytics. Whilst each of these techniques has subtle differences, they’re all connected…