Systems | Development | Analytics | API | Testing

The modern business landscape is characterized by an abundance of data, and those harnessing this data's power through machine learning stand to gain a competitive advantage. The ETL process (Extract, Transform, Load) is central to this effort and plays a crucial role in data management, analysis, business intelligence, and data processing. Raw data is ingested from multiple sources, like data lakes and databases, during the ETL process and reformatted for easier analysis.

Artificial intelligence (AI) and automation stand at the vanguard of the future of work. While it’s impossible to predict with certainty how things will change, a few current trends and stats provide a good sense of where the future of AI and automation will take us. As evidenced by the recent interest in generative AI, companies want to experiment with how to reap deep benefits from automation technology.

What can data fabric do for your organization and how does it differ from other data management approaches? This primer will get you up to speed on data fabric essentials and help you explain the basics of this top tech trend. What is a data fabric? A data fabric connects data sets across disparate software systems, whether they’re on-premises or in the cloud, and creates a complete view. It’s both a tool set and an unified architecture layer (also called a virtualized data layer).

APIs, or Application Programming Interfaces, have become an essential component of modern software development. They serve as the communication medium that enables different software components to interact with each other and allows for business data integration. In particular, APIs have become increasingly important for interacting with databases, like Microsoft’s SQL Server, by providing a structured way to read and manipulate data.

Marcus Merrell shares how Sauce Orchestrate can transform your test automation and CI/CD so you can test faster and achieve better ROI.

Learn the key features and limitations of popular UI testing tools to help you choose the right tool for your development team.

In the first article of this series, we introduced Fastify and compared it to Express, highlighting the benefits of switching to Fastify for high-performance web applications. We also explored Fastify's plugin system in detail, showing you how to extend and customize your web applications with reusable modules. In this part, we'll dive deeper into some of Fastify's more advanced concepts.

After 30 years of working in tech across Asia, I’ve seen a lot of ups and downs in these markets. Not long ago, I wrote a blog about what US and European software companies can do to ensure their success when opening for business in the region.

In this project, we build upon the foundations laid by Building a realtime chat app with Next.js and Vercel to integrate OpenAI's Completion API. This enhancement offers a more engaging user experience and supplies AI-driven chat assistance in a group chat setting. You'll learn how to: Next.js is a React framework from Vercel. It is used to build static web applications with server side rendering, serverless functions and seamless hosting.

When I was working at AWS, one of the things that inspired me the most was the company’s founding principles. As articulated by Andy Jassy, then CEO of AWS: AWS laid the foundation of a cloud infrastructure that works like Lego blocks and can be provisioned immediately. As customers’ businesses grew, they could scale effortlessly, paying only for what they needed rather than making large upfront investments.