Systems | Development | Analytics | API | Testing

Microsoft Power BI stands out from other leading business intelligence (BI) tools by leveraging the powerhouse ecosystem of Microsoft. Beyond BI capabilities, Microsoft offers industry-leading solutions for cloud infrastructure, collaboration, and business applications. This integrated ecosystem creates a unique value proposition for organizations looking to consolidate tools and streamline operations.

The software development landscape is undergoing a significant transformation in 2025. The global software market is projected to reach approximately USD 741 billion, with enterprise software generating USD 315 billion and application development software contributing USD 196 billion in revenues. Simultaneously, 75% of companies integrate AI into their core operations, and 82% of developers now use AI-assisted coding tools.

As highlighted in the Quantum-Safeness of WSO2 Products blog, the need for alternative digital signature algorithms has become increasingly urgent. While post-quantum (Q) algorithms are gaining traction, they require time to build industry-wide trust. To address this, hybrid post-quantum digital signatures have emerged, combining classical (C) cryptographic methods with post-quantum (Q) algorithms to ensure resilience against both classical and quantum threats.

Indexing with column granularity, now in preview, adds column information to indexes, helping BigQuery pinpoint relevant data within columns.

Earth Engine in BigQuery capability allows SQL users to analyze geospatial data, even if they don't have remote sensing experience.

The string is arguably the most essential data type in programming — every programming language and software in the world uses strings in one way or another. It enables humans to easily communicate with sophisticated programs and machines. One thing that would help you a lot as a programmer is understanding how to use and manipulate strings so that you can build programs users love.

Artificial intelligence is one of the most impactful innovations the financial services industry has ever seen. From streamlining financial operations to enhancing customer experiences, artificial intelligence capabilities help financial sector organizations stay competitive in a marketplace that never stops shifting. The benefits of AI also extend to payment processes. Here’s a real-life example.

When ChatGPT hit headlines, many equated artificial intelligence with simple chatbots. Useful? Sure. But limited to isolated tasks and virtual assistants, they fell short of their full potential. That’s changing. Businesses are now entrusting AI agents with real decision-making power on complex tasks. These agents reason, adapt, and act autonomously—without waiting for human intervention. When they’re deployed directly into processes, they provide real value at enterprise scale.

When you’re building something in Python—whether it’s a personal project, an API, or a startup idea—one thing is certain: bugs happen. And while debugging can be fun (sometimes), wouldn’t it be better to catch issues before they cause problems? That’s where testing comes in. In today’s blog, we’ll explore how to test and run your Python applications using Pytest, one of the most popular and beginner-friendly testing tools out there.

In the era of real-time data, Change Data Capture (CDC) in PostgreSQL has become a critical capability for organizations aiming to sync systems, trigger events, and power analytics with fresh, consistent data. This guide will take you through the core concepts, methods, tools, and best practices of how to enable CDC in PostgreSQL instance, making it easier for you to build efficient, reliable, and scalable data pipelines.