Tag Archives: Data Engineering

This article explains how we build an MVP (minimum viable product) for our business partners, medASTUDE. It shows our creative and technical software development process, from problem statement to software design and its implementation. But for the story to be complete, we need to take a step back and start with the background information.

The data platform has been a staple of the healthcare industry for a while now, though only recently it has…

Nowadays, even the simplest application cannot be imagined without using data. For developers, this means writing complex systems for accessing…

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

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…

AWS Lambda and AWS Fargate: full technical comparison of features, performance, limits and pricing. Get the right tech for your healthcare product.

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…