Tag Archives: Data Engineering

Everyone wants to have their app running on Kubernetes. But how to start this process? What steps should be performed? How…

A global pandemic sweeping through our populations and countries sounds like something from a disaster movie, not real life. And…

Everyone knows how to secure user access to resources. It’s simple, as we have a person that can enter his…

In the first part of the story shared with the community on QA Data Monsters Meetup (#DQM) we discussed how to check data pipeline work…

You asked for it. We delivered! Here’s the testing story shared with the community on QA Data Monsters Meetup (#DQM)…

We want to tell you about a few common patterns that can be used to build highly available APIs on…

Every project team sooner or later asks the question — how to test APIs? Do we need to write API…

Nowadays, you have two technology options on how to build modern serverless applications in AWS. The choice is between AWS…

Scalability is an essential characteristic of just about anything you can imagine that needs to be modified and expanded over…

Shortly about the latest developments in Big Data, AI, machine learning, IoT, cloud, and more. “The thing that’s going to…

Overview Data storage is the most important part of any big data analytics solution. How you transform, store and access…

Deployment is probably one of the hottest topics debated by modern software engineers since it’s hard to face so many…