Systems | Development | Analytics | API | Testing

Data pipelines are the backbone of modern, data-driven enterprises. They enable the flow of data from an ever-growing number of sources, transforming it to make it suitable for analysis. But errors can occur as your data moves from one system to another, so monitoring them is crucial.

The world has been adapting and aligning with the digital revolution faster than ever. From websites becoming the business showcase to service-dedicated applications that have simplified the interactions with end-users and the service providers, the transformation is happening at a very fast pace.

When your data systems don’t have access to accurate and real-time data, your organization runs the risk of making bad and costly decisions based on poor-quality business intelligence. In fact, Gartner research director, Mei Yang Selvage, recently said that the failure “to measure the impact results in reactive responses to data quality issues, missed business growth opportunities, increased risks, and lower ROI.”

An Enterprise Resource Planning (ERP) system is critical to supporting core business processes within large organizations. The ERP establishes a consolidated view of multiple systems including but not limited to inventory, sales data, manufacturing platforms, HR systems, CRM and many more. Most ERPs will seek to satisfy a particular industry need.

Testing with Java and Selenium helps software development teams save time, reduce errors, and become more efficient. Learn how to get started with both in this blog post.

There was a huge amount of buzz about Apache Flink® at this year’s Kafka Summit London. From an action-packed keynote to standing-room only breakout sessions, it's clear that the Apache Kafka® community is hungry to learn more about Flink and how the stream processing framework fits into the modern data streaming stack.

If you're not thinking about integrating AI into your apps, you're missing out. In this tutorial, we will walk you through how to set up a React app that harnesses the vast knowledge of ChatGPT via the OpenAI API, allowing you to take your UI components to a whole new level.

When React arrived on the scene in 2013, it quickly became the darling of developers by making everything about UI delightful and component-y. Yet as millions embraced React, they also demanded more than just delightful UI. Developers craved snappier performance and better search engine optimization (SEO). That's when Next.js waltzed in, whispered "server-side rendering," and changed the game. Next.js builds on React's legacy and takes it to new horizons.

Uncover the inner workings of Ruby on Rails with our dive into the Params hash—an essential component for handling HTTP requests. From query params to avoiding injection, this article will elevate your understanding of Rails, providing you with the tools to create more secure and efficient web applications.

AI has fundamentally changed the way business functions. Adoption of AI has more than doubled in the past five years, with enterprises engaging in increasingly advanced practices to scale and accelerate AI applications to production. As ML models become increasingly complex and integral to critical decision-making processes, ensuring their optimal performance and reliability has become a paramount concern for technology leaders.