Good software habits apply to databases too. Trust in these little design tips to build a useful, rot-resistant database schema. It is a universal truth that everything in software eventually rots.

Choices are pervasive when designing a database. The data modeler must progress through a series of issues: What ideas are important? Which objects stand out? Which concepts can take a back seat?

Typically, most applications consist of both batch and online workloads. This is true even today, when most of our attention has turned to online and web-based interaction. Sure, online activities are ...

Java devs looking to explore or work in data science may need another language up their sleeves. Python and R are common Java alternatives for data science. Continue Reading ...

For small to mid-sized businesses of any industry, comes Ragic – a flexible and intuitive “do-it-yourself” no-code database program builder that allows users to design their system according to their ...