Mobile apps are the key to business success, accounting for a quarter of companies’ revenue, according to Kobiton research. However, 75% of companies report that slow app releases cost them over $100,000 annually, making efficient and timely app testing essential. These statistics call for complete native app testing, which involves testing apps built specifically for a certain operating system.

SaaS is quickly becoming one of the significant industries for business growth and a primary force that drives the development of companies in the modern world, and the market is expected to reach $462 billion by 2028. Its popularity comes from the fact that applications may be accessed via the Internet without the bother of installation or regular maintenance. It's cloud-based, doesn’t need hardware, and updates automatically, making it a game-changer for companies.

What is data fabric architecture? The case for data fabric 4 key facts about data fabric architecture Data fabric architecture can modernize and future-proof your data approach Data fabric architecture is a virtual data layer that connects any number of external systems together to provide unified access and a complete, 360-degree view of an organization’s data. Whether your data lives in legacy systems or multi-cloud environments, a data fabric can connect these systems together for a unified view.

Test automation involves software tools and scripts to execute tests automatically without manual intervention, which accelerates testing cycles, enhances accuracy, and minimizes human errors. Artificial Intelligence (AI) includes machine learning, natural language processing, and computer vision. These systems simulate human intelligence, enabling machines to learn from data, make decisions, and solve problems autonomously.

Accessibility is important to all users of digital products as it helps them use the product without becoming disabled by code that doesn’t consider accessibility requirements. More people are becoming aware of the need for accessibility, and varying laws are being set. One is the European Accessibility Act (EAA), which will come into effect in June 2025, and another is the US Department of Justice revising Title II of the Americans with Disabilities Act (ADA) in April 2024.

Oracle SQL Developer is a powerful tool widely used by data professionals for managing and interacting with Oracle databases. One of the common tasks that data analysts in mid-market companies frequently encounter is the need to export data from Oracle SQL Developer to Excel for further analysis, reporting, or sharing. This blog will provide a detailed, step-by-step guide on how to achieve this, ensuring that every method is covered comprehensively, catering to various user needs and preferences.

Data elements are the fundamental building blocks of EDI documents. They represent individual information within a transaction set, such as city, state, country, item number, quantity, and price. Each data element is defined by its data type, which specifies whether it’s numeric, alphanumeric, a date, or a time. Additionally, the definition includes details like minimum and maximum length requirements and any applicable code values.

If you’re a developer or QA person, you know the importance of running different performance tests to determine how changes in code could affect performance. This highlights the importance of performance testing in the software development lifecycle. Performance testing measures a system’s overall performance under various conditions, load testing measures its performance under expected user loads, and stress testing evaluates its behavior under extreme conditions to identify breaking points.