Category: Databases
Industry 4.0 – Real time data visualization
As part of the lecture “System Engineering and Management”, we worked on a project in cooperation with IBM to visualize Industry 4.0 data in real time using a configuration-based approach. This project aims to avoid needing a web developer every time there is a modification in the data.
Isolation and Consistency in Databases
by Samuel Hack and Sebastian Wachter. Most people assume that the data coming from a database is correct. For most applications this is true, but when the databases are used in systems where the database is at its limit, this is no longer always the case. What happens if during a query of a value…
The Renaissance of column stores
While attending the lecture ‘Ultra Large Scale Systems’ I got introduced into the quite intriguing topic of high-performance data storage systems. One subject which caught my special attention were column-oriented database management systems (column stores) about which I decided to give a presentation. Being quite lengthy and intricate, I realized that the presentation left my…
Testing a MongoDB with NodeJS, Mocha and Mongoose
Related articles: ►Take Me Home – Project Overview ►CI/CD infrastructure: Choosing and setting up a server with Jenkins as Docker image ►Android SDK and emulator in Docker for testing ►Automated Unit- and GUI-Testing for Android in Jenkins Setting up the testing environment and workflow Setup: Jenkins CI Docker Container MongoDB Docker Container Production-MongoDB on mlab.com NodeJS Web-Application,…
Docker- dive into its foundations
Docker has gained a lot of attention over the past several years. But not only because of its cool logo or it being the top buzzword of managers, but also because of its useful features. We talked about Docker quite a bit without really understanding why it’s so great to use. So we decided to take a closer look on…