Systems | Development | Analytics | API | Testing

Dig into 7 business intelligence reports examples that other experts are using to grow their business and give themselves a competitive edge.

Spring is the most popular application development framework in Java. However, over the past few years, Spring has become increasingly complex because of added functionalities. Starting a new project usually requires going through a lengthy process and takes a lot of time. To avoid starting from scratch and to save time, Spring Boot was introduced. Spring Boot uses Spring as its foundation layer and allows developers to build a standalone application with none or minimal configuration.

A good database schema is indispensable for making data warehouses work. Get it wrong, and you’ll be in a world of hurt.

Follow these tips to ensure that your database schema delivers maximum utility for data warehouse users, data analysts, and data scientists.

After you’ve built your microservices-backed application, it’s time to deploy and connect them. Luckily, there are many cloud providers to choose from, and you can even mix and match. Many organizations, like Australia Post, are taking the mix-and-match approach, embracing a multi-cloud architecture. The microservices that make up a system no longer have to stay on a single cloud.

.NET Core vs. .NET Framework is a popular debate in the IT community. Many individuals and enterprises are curious to learn about the aspects of these Microsoft inventions, so read on. We will begin with an overview of these technologies, their benefits to end-users, and their relevance in this digital age. Feel free to use these links to navigate the guide.

Microservices have gained a lot of traction in the last few years. Ever since the dawn of time, monolithism – packaging all your modules into one colossal codebase – was the default way to go when building software applications. However, as applications have had to cater to increasing volumes (of millions) of users over the internet over the last decade, scalability and flexibility have become ever more critical.

We constantly hear about UX Analytics. Analytics must always be a part of the design process of an app from the very beginning. We also hear tons about UI/UX design. However, and definitely during a redesign, UI and UX changes based on product analytics need to run parallel processes. So how come we never hear about UI Analytics?

For the first time, Kubernetes engineering teams interested in learning more about Speedscale will be able to play with the framework without registering, at play.speedscale.com. Engineers can see firsthand how you: While users won’t be able to actively watch replays run, there are a variety of pre-created traffic snapshots, reports and configs to browse. Engineers will be able to experience the ease with which snapshots are generated for fast, scalable test automation.

State and local government agencies in the US are facing heightened demand to address a long-avoided issue: outdated technology. The existing solutions these government organizations rely on are not user friendly, limit collaboration by siloing essential data, and make processes longer and more cumbersome than they need to be. Yet, despite the limitations that result from outdated solutions, it should come as no surprise that only 60% of states have a digital strategy.