Systems | Development | Analytics | API | Testing

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.

Test driven development (TDD) is a software development process and programming methodology in which small, automated tests are written before the actual code. TDD is important because it ensures that code is thoroughly tested, leading to higher-quality software. It is crucial for reducing bugs early in the development process, leading to more reliable and maintainable code over time.

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.

Modern software testing now relies heavily on test automation, which helps teams produce reliable, error-free software more quickly and confidently.

Web applications have become the backbone of businesses—from eCommerce platforms like Amazon to social networks like Facebook. Unlike traditional websites that simply present information, web apps let users interact, make transactions, or even collaborate in real-time. Whether you're a small startup looking to streamline operations or a large enterprise needing scalable solutions, web apps make it all happen. But how do you go from idea to execution?

In just 12 short months, the Connect with Confluent (CwC) technology partner program has transformed from a new, ambitious initiative to expand the data streaming ecosystem into a thriving portfolio that’s rapidly increasing the breadth and value of real-time data. The program now provides a portfolio of 50+ integrations, each one amplifying the capabilities of Confluent's unified data streaming platform for Apache Kafka and Apache Flink.

I shouldn’t have to convince anyone that Apache Kafka is an incredibly useful and powerful technology. As a distributed event streaming platform, it’s adept at storing your event data and serving it up for downstream consuming applications to make sense of that information––in real time or as close to real time as your use case permits. The real beauty of Kafka as a technology is that it can do it with very little effort on your part. In effect, it’s a black box.

Today’s fans are global - often based across the world from their favorite team, sports star, or artist; and they are also virtual - for example, 99% of NBA fans across the world will probably never set foot in an arena. These trends are driving a shift in not only fan behaviors, but also expectations. Fans engaging in live events virtually rely on applications to deliver rich realtime experiences with such low latency and reliability that it can almost replace the in-person experience.