Systems | Development | Analytics | API | Testing

Many organizations focus on the data engineering or development qualifications they require to connect specific data sources and manage data projects. But that is only half of what is needed. Soft skills are so important and sometimes overlooked. Soft skills support data management success because they help individuals effectively communicate and collaborate with others, understand and anticipate the needs of stakeholders, and make data-driven decisions.

In the latest instalment of our interviews speaking to leaders worldwide in tech, we’ve welcomed Mady Mantha, CTO and co-founder of Happypillar.

Codemagic is now officially integrated with Runway, the DevOps platform for mobile. But wait, you might be wondering, isn’t Codemagic already that as a CI/CD for mobile? Aren’t the two services interchangeable? In fact, it’s quite the opposite — they’re powerfully complementary.

If you have worked in the developing scenes, you know how important programming language versions are. Every time the company releases a new version of their language, they have significantly improved and worked upon its older versions. And most of the time, the older versions get deprecated and become out-of-use for building modern web applications. When Ryan Dahl first built Node.js in 2009, it was supported only on Mac OS and Linux.

As a matter of fact, the entire metric system we use today is based on decimals, in fact, all measurements are made in decimals. Be it a kilogram (10^3 gram) or millimeter (10^-3 meter). But not so for computer engineers! It was during the early days of programming that they found out computer systems worked better with 1024 rather than 1000.

You’re working on a team project and have made substantial progress. You go to submit your code changes only to find out someone else on your team was working on the same file(s) and submitted their changes before you did. Now you have the problem of conflicting code – and the time required to resolve your changes against the other person’s changes. This is called a merge conflict and can be a source of headache for many developers.

5 important differences when comparing MongoDB vs. Redis.

“Data pipeline” and “Extract, Transform, Load” (ETL) are common phrases encountered in just about every data integration. But what’s the difference?

From airline tickets going through the roof during holiday seasons to Uber and other ride-sharing services charging higher prices in rush hour, we have become accustomed to paying different prices for the same services. Traditionally, dynamic pricing was a tool reserved for industry giants like Amazon because of its implementation complexity and price tag.

Marketing data integration is the process of combining marketing data from different sources to create a unified and consistent view. If you’re running marketing campaigns on multiple platforms—Facebook, Instagram, TikTok, email—you need marketing data integration. Why? Because being able to assimilate data from different channels and across multiple marketing touchpoints gives you visibility into the overall impact of a campaign, event, or another marketing effort.