Systems | Development | Analytics | API | Testing

The dynamic landscape of product development continuously increases the scope of what is demanded from quality engineering (QE) professionals. So, it is not surprising that workplace learning and upskilling are critical to the organizational success, as highlighted by Workplace Learning Report: Without a doubt, the more technical side of the skill spectrum - e.g.

Imagine getting into your car to head to work on a hot day. Your car already knows and sets the temperature, the ambient lighting, and the music you prefer. Not only that, it optimizes your route, and with Level 3 autonomy, it can even drive you there. But what does the automotive industry have to do on the backend in order to achieve this kind of personalization?

It’s no secret that more and more organizations are turning to solutions that can provide benefits of real time data to become more personalized and customer-centric, as well as make better business decisions.

As a Node.js developer, you probably already know that testing code and maintaining its quality are essential aspects of software development, arguably just as important as writing code in the first place. Good tests raise confidence that changes won't cause problems, and the time invested eventually helps you ship faster.

A partnership between Google Cloud and Gretel lets data engineers generate synthetic data within BigQuery.

BigQuery’s pipe syntax introduces an intuitive, top-down syntax for understanding data transformations, and is used in Cloud Logging Log Analytics.

It’s a vague, unhelpful message that feels more like a riddle than an error. You know something doesn’t belong, but you're left guessing what that "token" is and why it's unexpected. Let's demystify what’s really going on behind the scenes and get your code running smoothly again. The "SyntaxError: Unexpected token" in JavaScript occurs when the code contains a character or symbol that the JavaScript engine does not expect, often due to a typo or syntax mistake.

Rounding numbers in Python is an important concept that simplifies calculations and improves the accuracy of results. It helps you adjust numbers by changing them to the nearest whole number or to a specific number of decimal places. Whether you are working with financial data, scientific measurements, or just everyday calculations, rounding ensures that your results are easy to interpret and use.

Replicating databases in regulated environments starts with syncing data sources while ensuring the data never leaves the secure perimeter of the cloud or on-premises network.

After a short break, we’re back with Part 2 of this series on Spring Framework, Confluent Cloud, and the Kotlin language. Many organizations that write applications and microservices for the JVM have chosen Spring Framework, leveraging the many libraries available for features such as REST services, persisting data to a variety of datastores, and integration with messaging. These organizations have existing investments in building, testing, deploying, and monitoring applications using Spring.