Systems | Development | Analytics | API | Testing

System administrators, DBAs, and application developers all know about the need for data integration. That’s when you have to pull data from one database, application, or web service to another. Fortunately, this task is a lot less challenging than it used to be because APIs (application programming interfaces) are so popular today. APIs provide a standard way to share the data and services of one system with another, even if the two systems are otherwise incompatible.

Manual testing is a fundamental yet essential process in software development where testers manually execute test cases without the use of automation tools. Despite advancements in automation, over 30% of global testing efforts are still carried out manually, according to industry research.

In our latest update to the WSO2 support portal, we’ve introduced two important new features: Service Requests and Change Requests. These are designed specifically for Managed Deployment based accounts and replace the previous Hosting tasks and Hosting query type cases, offering a more streamlined and efficient way to manage your support needs.

Big data storage tools like BigQuery, Hadoop, and Cassandra are used to manage large volumes of structured and unstructured data generated by modern applications. Unlike traditional databases, these tools provide scalable and distributed infrastructure that efficiently stores, processes, and analyzes petabytes of data across clusters.

We’re excited to introduce a significant addition to WSO2 Micro Integrator: our new visual data mapper, now available with the 4.3.0 release. This feature is designed to enhance your data integration experience by providing a more intuitive and user-friendly way to manage and transform data.

What do developers really think about artificial intelligence (AI)? To many, AI is synonymous with innovation. While some noisy naysayers on the sidelines may cry the promise of generative AI (GenAI) is overhyped, the reality experienced by actual developers and leaders in the digital trenches working with GenAI and large language models (LLMs) tells a clear story: AI is a top priority in the enterprise today because it has already delivered real, tangible business benefits.

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