Systems | Development | Analytics | API | Testing

If you’ve been writing code for any reasonable amount of time, then it’s virtually impossible that you haven’t handled logging in any way, since it’s one of the most essential parts of modern, “real life” app development. If you’re a.NET developer, then you’ve probably used some of the many famous logging frameworks available for use on this platform. Today’s post will cover one of these frameworks: log4net.

Fivetran, LTIMindtree and Snowflake unveil DecisionsCX, empowering enterprises with Customer 360 for hyper-personalization.

Flutter, Google's open-source UI toolkit, has gained immense popularity for building natively compiled applications for mobile, web, desktop, and embedded devices from a single codebase. With its versatility, developers have embraced Flutter for creating dynamic and responsive user interfaces. However, when it comes to test automation, Flutter apps require a unique approach due to their underlying architecture.

Apps built with Elixir can support massive scalability, real-time interactivity, great fault tolerance, and the language's syntax is actually a joy to use. Elixir is a natural fit for applications such as chat apps, data dashboard apps, and anything needed to support a large userbase. In this article, we'll use Elixir — specifically, the web framework Phoenix — to build a multi-tenant link shortening app. Let's get started!

Continued global digitalization is creating huge quantities of data for modern organizations. To have any hope of generating value from growing data sets, enterprise organizations must turn to the latest technology. You’ve heard of data warehouses, and probable data lakes, but now, the data lakehouse is emerging as the new corporate buzzword. But what is a data lakehouse and how can you make the most of it to transform your Oracle Cloud data for advanced reporting and analytics?

Organizations often grapple with the choice between two distinct but equally vital technologies: API generation and ELT (Extract, Load, Transform) solutions. While both serve as essential tools, they stand at opposite ends of the data management spectrum. API generation focuses on facilitating real-time data access and dynamic communication between software applications, whereas ELT specializes in the consolidation, transformation, and preparation of data for analytics.

Artificial intelligence holds the potential to enhance efficiency, streamline processes, and improve decision-making across various government sectors. But without robust safeguards, there is a heightened risk of biased decision-making, privacy breaches, and misuse of sensitive data. The Biden administration’s AI executive order establishes new standards for AI safety and security as well as for responsible use of AI at federal agencies and in state and local governments.

AI growing relevance in software testing has garnered substantial attention in today's software industry. While incorporating AI and ML approaches into software testing is not required, it is worthwhile to explore and study how these methods may deliver valuable benefits in specific elements of the testing process. With the incorporation of artificial intelligence (AI) techniques software testing will undergo a transformational transition.