“Big Data includes huge volume, high velocity and extensible variety of data, both structured and unstructured. Analysis and examination of this data plays a big role in making a better decisions and lead to strategic business moves. In this research, we are focusing on analysis of Moodle e-learning platform database with aim of improving the educational process. Using the concept of learning analytics we are trying to better understand teaching and learning processes in order to get as much as possible from educators and learners which are the main actors in the mentioned activities. The standard procedures that are specific to the databases will take a lot more time to do this. To facilitate this process, big data processing tools are used. Here, we also present the possibility of analyzing big data in the cloud. For the purpose of this research, we developed a framework for big data analysis.”
The QAN is a special dashboard which enables database administrators and application developers to analyze database queries over periods of time and find performance problems. QAN helps you optimize database performance by making sure that queries are executed as expected and within the shortest time possible. In case of problems, you can see which queries may be the cause and get detailed metrics for them.
Source: PMM Query Analytics
Searching the Moodle database schema is no longer a challenge and table fields names and purposes are no longer a mystery 🙂
With the Zoola analytics DB schema explorer, we can now search and filter tables, table fields, and explorer 1st and 2nd level external key connections between tables.
Yorker, Moodler and developer Marcus Green not only offers comprehensive training on the Java programming language. In his examulator.com portal, he shows us a visualization of the database that po…
Moodle’s Database Schema (2.2) visualized