Frequently asked questions about QOps
The situation when several developers work on the same sheet, and everyone does own part of the work is possible with QOps. For its implementation it is necessary to adhere to a competent branch strategy to avoid merge conflicts. It is also worth pay...
Risks of QOps misuse
Each product is accompanied by instructions that clearly indicate the rules of use, warnings and risks that may arise in case of improper use. It's fair to talk about some of misusing QOps risks....
QOps place in secure data access ensuring
In the modern world, data is the most valuable resource that opens new opportunities for development, new ideas and efficient operations. Its value creates high cybercriminals’ interest who steal or corrupt data for their own benefit. Their methods a...
The Rumsfeld Matrix as an effective tool in the decision-making process
During a briefing on the Iraq War, Donald Rumsfeld divided information into 4 categories: known known, known unknown, unknown known, unknown unknown. ...
AI and ML impact on Data Science
Artificial Intelligence and Machine Learning have contributed to the advancement of data science. These technologies help data scientists conduct anal...
Artificial Intelligence for data analytics
Artificial Intelligence is widely used in many applications, including for data analytics. AI is used to analyze large data sets that allows to obtain...
