Systems | Development | Analytics | API | Testing

%term

60% of Employees Say They Ignore or Get Around Workplace AI Rules, Report Finds

What do developers really think about artificial intelligence (AI)? To many, AI is synonymous with innovation. While some noisy naysayers on the sidelines may cry the promise of generative AI (GenAI) is overhyped, the reality experienced by actual developers and leaders in the digital trenches working with GenAI and large language models (LLMs) tells a clear story: AI is a top priority in the enterprise today because it has already delivered real, tangible business benefits.

How to Handle Errors in Next.js for Node With the App Router

Error handling in Next.js is critical to providing a seamless experience to your users even when things go wrong. Without proper error management, users may get confused about what has happened and even leave your site. To avoid that, you must ensure that they receive informative feedback about errors and provide a way to recover from them. In this article, you'll see: Let's jump right in!

Boost Your Workflow with the Ultimate Local Development Mock

The benefits of API mocking extend beyond just speeding up development. It enables developers to work independently of external APIs, eliminating delays caused by dependencies that may be out of their control. This independence is crucial for maintaining workflow efficiency, especially in complex projects involving multiple APIs. API mocking is invaluable for testing edge cases and error scenarios that might be difficult to reproduce with a live API.

What is Yellowfin Present? How to Create Professional Presentations

Effectively communicating insights derived from data is a cornerstone of successful decision-making in today's landscape. Yet, many businesses struggle to translate complex analytics into compelling narratives that resonate with diverse audiences. The ability to create engaging and informative presentations directly from data is a critical requirement for modern embedded analytics platforms.

What Are Effective Metrics in Software Testing?

When it comes to software testing, context matters more than just numbers. @Titus Fortner sheds light on why meaningful metrics are essential for accurate risk assessment. Here's why this matters: In-Depth Understanding: Move beyond simple code coverage to understand the actual state of your system. Contextual Testing: Avoid assumptions and test the real-world scenarios to catch hidden bugs. Effective QA: Ensure that your metrics provide valuable intel, not just surface-level data.

How Big data era is reinventing the digital transformation?

Not too long ago, businesses tended to downplay the importance of integrating analytics into their operational strategies and embracing digital big data. The formidable challenges of hefty budgets and a need for more qualified digital transformation professionals were major barriers, deterring companies from fully engaging with the big data era.

Add Flexera's State of the Cloud Report to Your Summer Reading List

It’s nearing the end of the summer in North America, and one report has been a staple on my reading list for more than a decade: the Flexera State of the Cloud Report. The annual survey of hundreds of global IT decision makers assesses cloud strategies, migration trends, and important considerations for companies moving to the cloud or managing cloud environments.

A Guide to ERP Data Migration: Challenges and Best Practices

Across industries worldwide, businesses are turning to ERP to automate repetitive tasks, enjoy easy scalability, stay flexible, and derive insights using a single source of truth. According to Statista, Enterprise Resource Planning (ERP) software market revenue will reach USD 53.15 billion this year. If your organization implements an ERP system, you’ll find that data migration is one of the most critical components of this process.

Unlock Real-Time Value from DynamoDB Data with Confluent's CDC Source Connector

Over the years, Amazon DynamoDB has grown into a feature-rich NoSQL database that has deep integrations with various services such as Amazon S3 and AWS Lambda. As businesses increasingly depend on data for decision-making, it is common to use data residing in DynamoDB to contextualize or even drive events at a granular level (as opposed to bulk or batch).