API testing is a bit like putting together a puzzle. You need all the pieces to fit perfectly to see the big picture, and sometimes, you have to simulate a piece or two with mocking. Mocking in API testing lets you imitate a component or system’s behavior to test your application more efficiently. It’s like having a stunt double for your API when the real actor is unavailable. This approach can save time, reduce costs, and increase the reliability of your testing process.

Wondering which is the best way to host your business applications and IT infrastructure? Many enterprises are transitioning from on-premises software to cloud computing. On the other hand, several established companies are investing their capital in on-premises software. Both of these deployment models have advantages and drawbacks, and you can zero in on the right option by considering your specific requirements.

Understanding your personal finances involves knowing some important organizations in the financial world, especially credit bureaus. These bureaus, like Equifax, Experian, and TransUnion, gather financial data from various sources, such as banks and credit card companies. They then compile this information into individual digital credit reports. This article will take a closer look at how these credit bureaus work.

The landscape of business intelligence (BI) is undergoing a metamorphosis, demanding solutions that transcend static reports and siloed data. At insightsoftware, we’re not merely keeping pace with this evolution – we’re spearheading it with the transformative rebirth of Logi Symphony. Gone are the days of cumbersome BI 1.0 and self-service limitations of BI 2.0.

We have all encountered collections of data at some point when working on Elixir applications. These collections are very handy for storing, retrieving, and manipulating data using different data structures, making them very efficient in managing clean code. In this article, we'll go through the following: Finally, we'll explore how to build a memory-efficient Elixir application using the lazy processing approach with streams.

In an iconic Top Gun scene, Charlie tells Maverick that a maneuver is impossible. Maverick replies, “The data on the MIG is inaccurate.” In the more recent sequel, despite his extensive, firsthand knowledge, Maverick is told “the future’s coming and you’re not in it.” While flying may be more automated now, the importance of accurate and diverse data for aviation safety remains — and is likely even more critical.

I am a software engineer and part of a team at Mobi Lab, a design agency. In Mobi Lab, we build successful digital products and augmented reality solutions for people on the go. In this post, I will share what we have learned about the importance of continuous integration and delivery (“CI/CD”) and how Codemagic improves our workflow and makes our clients happy.

Comma-Separated Values (CSV) files are indispensable in the realm of data management, serving as a bridge for data exchange across disparate systems, platforms, and apps. Despite their ubiquity and the simplicity they bring to data importation, professionals often face hurdles that can disrupt workflows and lead to data integrity issues. These challenges, ranging from minor formatting mismatches to complex encoding dilemmas, underscore the need for a comprehensive understanding of the CSV import process.