Systems | Development | Analytics | API | Testing

In this blog post, I’ll set up and run a couple of experiments to demonstrate the effects of different kinds of partition pruning in Spark.

Over the past several years, there has been an explosion of different terms related to the world of IT operations. Not long ago, it was standard practice to separate business functions from IT operations. But those days are a distant memory now, and for good reason.

Since the start of the pandemic nearly a year ago, there's been one word on the lips of every business leader, analyst, and investor around the world: cloud. COVID-19 fundamentally changed the way businesses operate. In response, organizations went all in on cloud, betting on the unmatched scale, speed, and security of SaaS applications to help them weather the storm. Nowhere was this shift more pronounced that in our own data and analytics industry.

Azure API Management (APIM) is a powerful platform that enables you to publish and scale APIs while ensuring they are secured. One of the great features of Azure APIM is that you can add plugins and transforms to your APIs without any code change or restarts. These capabilities are deployed using XML Policies which are a collection of statements.

Congratulations! This is an exciting moment to begin building a new mobile app. Cross-platform frameworks have changed everything: thanks to them, developers can now ship performant apps across many platforms with a single codebase. Two of the biggest frameworks are Flutter and React Native, both with a ton of buzz around them. So what’s the right choice for your project?

We’re going to investigate the basic strategies to debug an application created with Unity, from logs to breakpoints, during the development stage. Once an app is in production we can switch to using Bugfender, and we’ll explain this too. To illustrate this tutorial we have created a custom app called The Bugfender Game, a variation of the popular Flappy Bird. Unity is a cross-platform game engine that gives users the ability to create games and experiences in 2D, 3D, VR and AR.

With the latest release of Helix QAC, the static code analysis tool continues to provide you with in-depth, high-quality compliance coverage for C and C++ coding languages. However, what makes Helix QAC 2021.1 notable is that it now offers complete support for many key coding standards. Here is an overview of the most impactful enhancements made to Helix QAC.

Product lifecycle management is all about the dynamics between requirements and their fulfilment (e.g., the ability to test and prove that a requirement is fully covered, as defined during the product planning phase). Understanding this relationship, and respecting it unconditionally, allows great products to achieve world-class quality and stability. For the majority of products, the combination of people, processes, and technology is triggering different forms of changes to the original plan.

Data integration has been around for decades in some form or fashion, as organizations are always looking for ways to combine their enterprise data and collect it in a centralized location. The most commonly used and dominant type of data integration is ETL (extract, transform, load). ETL first extracts data from one or more source systems, transforms it as necessary, and then loads it into a target warehouse or data lake.