Systems | Development | Analytics | API | Testing

BigQuery applies enhanced vectorization to aspects of query processing such as filter evaluation and data encodings and optimization techniques.

When you use loops in Python, there are a lot of times when you don’t just want the item from a list, you also want to know where that item is in the list. For example, going through a list of names and needing to show their position, like “1. Alice”, “2. Bob”, and so on, or you could be building a menu where each option needs a number next to it. In these situations, Python’s enumerate() function is very helpful.

Katalon officially signed a Memorandum of Understanding (MOU) with RMIT University Vietnam. This collaboration aims to bridge academic learning with real-world software development and software testing expertise, equipping students with an adaptive mindset, future-ready skills and AI tools. Leaders and representatives from RMIT Vietnam and Katalon at the MoU signing ceremony.

NGINX One provides a modern solution for enterprises to manage infrastructure at scale across globally distributed systems. The platform has built-in tools for essential performance and uptime metrics, giving DevOps teams visibility into the health of their NGINX instances. But for effective API observability and analytics, you have to go beyond infrastructure metrics.

In this episode, Emmanuel Paraskakis, CEO Level 250 breaks down the core responsibilities of an API product manager. Speaking from his experience in product management for over fifteen years, Emmanuel distinguishes an API product manager’s focus from conventional product roles, underscoring their critical importance in building scalable digital platforms.

To be good stewards of taxpayer dollars, state and local governments conduct market research and perform due diligence before purchasing a software solution. Commercial off-the-shelf (COTS) products are often positioned as offering the best price tag and the fastest deployment. However, the promise of a speedy installation often goes unmet.

AI is a groundbreaking technology that is ready to modernize the way federal government agencies operate. By automating tasks and optimizing workflows, artificial intelligence (AI) promises to enhance efficiency, minimize errors, and boost productivity without adding resources. But as with any change—and especially one as transformative as AI—leaders need to take deliberate and cautious steps to ensure a smooth integration of these innovations and to gain the buy-in of government employees.

Struggling with data consistency in sharded APIs? Here's what you need to know upfront: Data sharing improves performance by dividing data across multiple databases, but it introduces challenges in maintaining consistency. Consistency models matter: Choose between strong consistency (immediate accuracy, higher latency) and eventual consistency (temporary inaccuracies, higher performance).

Do you ever feel like you need a superpower to get the information you need? Especially when you’re really into Python? APIs are pretty much that superpower! APIs (Application Programming Interfaces) let your code "talk" to other systems and get exactly what you need. They can help you come up with a new app, find the next big market trend, or even automate your morning weather report. This guide?

If you’re looking for a better way to handle reporting in Power BI, especially when working with Microsoft Dynamics 365 data, you’re not alone. Many businesses struggle with the complexity of Dynamics data and the technical overhead of building reports in Power BI from scratch. In this guide, we’ll show you how to simplify Power BI reporting by using Jet Reports, a powerful reporting tool that integrates seamlessly with Dynamics 365 and Excel.