DevOps, GCP, etc.
There are lots of terminologies around data store, based on its purpose, use cases and how it’s being built. Understanding the difference by putting these terminologies together side-by-side is a very effective way to clear the confusion. Let’s see it one by one.
What’s the relationship between Machine Learning, Artificial Intelligence and Data Science?
Here is a small diagram to clear the confusion.
Hyper-Automation is a new terminology.
It’s written without hyphen most of the time, like hyperautomation.
It’s the concept of automating everything with intelligence and scale in the organizations that can be automated.
The DevOps (Developers + Operations) is a cultural shift that emphasizes on communication, collaboration and integration between developers and operations teams. There is many concepts evolved over the time under the DevOps title, like CI/CD, DevSecOps, etc. We will understand these basics of DevOps in this article.
Software Design and Software Architecture are the two most important phases of the Software Development Life Cycle. Both sounds confusing sometimes, let’s understand the differences clearly.