SQL LRS and the Future of Learning Data: From Storage to Intelligence
We are now operating in an AI-driven landscape where raw activity data is no longer sufficient. Logging events is easy. Extracting meaning is hard.
Machine learning systems don’t need more noise—they need:
Structured signals
Verified outcomes
Aggregated performance
Deterministic logic
In other words, they need preprocessed intelligence.
SQL LRS is designed to deliver exactly that.
What is SQL LRS and Why Does Your Organization Need It?
Enterprise learning organizations are increasingly looking to harness the power of learning data to improve training, performance, and decision making. But with the vast amounts of learning activity data being generated across various platforms and systems, managing and analyzing that data can quickly become overwhelming. This is where SQL LRS comes in.
Enhancing xAPI Data Management with Yet Analytics' SQL LRS
As an Apache 2.0 open source Learning Record Store built on SQL, our LRS provides significant advantages in terms of deployment, integration, and data querying capabilities.
What Reactions Is. And What Reactions is not.
Reactions is a method of applying conditional logic to things happening within SQL LRS.
Moving your xAPI Data from one vendor’s LRS to another
There are many xAPI implementations that have been invested in over the last few years that for one reason or another are now in need of an update and you find that you need to move from one vendor’s LRS to another. But what do you do about all of that data that you’ve collected?