It turns out that “real time” is a bit of a misnomer — there’s always some lag between an event and its processing — even if it’s only a few milliseconds. But we can help decrease even that item.
The internet of things has expanded from small personal devices to warehouses and factories. This post will look at how IIoT impacts various industries and how to start or accelerate your transformation.
Most data in streaming applications such as IoT, finance, user behavior analysis and automotive is time-series data. Learn how to capture, process and apply it to get the most value from it.
Ademen aims to empower community clinical teams to screen for and monitor health problems using the smart stethoscope it built on streaming data with Quix.
Computing in the cloud, in the fog or at the farthest edge can make a significant difference in technical applications that are processing large volumes of data at high speeds
Three Quix connectors let you move data from Twitter to a Snowflake database while transforming it along the way. Learn how to set up the pipeline without writing any code.
Members of the streaming community share their favorite tools — from backend development to organizing workflows to developing website copy. We have suggestions that you’ll actually enjoy using.
Streaming real-time data didn’t magically appear from nowhere. Its long history isn’t just fascinating — it’s full of familiar examples that your family can understand.
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.
“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.