Systems | Development | Analytics | API | Testing

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The CIO's Guide to Reducing Costs and Boosting Efficiency Through Legacy System Modernization

In today’s digital environment, many organizations find themselves grappling with the challenges posed by modern technology. If your organization is finding it challenging to stay ahead in this digital age, you are not alone. Cigniti’s white paper on “Business Transformation through Application Modernization” serves as a crucial resource, offering a comprehensive roadmap for CIOs to navigate these challenges successfully.

Let Flink Cook: Mastering Real-Time Retrieval-Augmented Generation (RAG) with Flink

Commercial and open source large language models (LLMs) are evolving rapidly, enabling developers to create innovative generative AI-powered business applications. However, transitioning from prototype to production requires integrating accurate, real-time, domain-specific data tailored to your business needs and deploying at scale with robust security measures.

DreamFactory DB Functions: Using SQL Functions to Improve Your API Calls

Picture this: a customer reaches out with a seemingly simple request—convert a date field to a different format in their API responses. The catch? They only have read-only access to their database, which means no schema updates, no new columns, just pure data transformation. This intriguing challenge led us down the rabbit hole to rediscover one of DreamFactory's most powerful yet underutilized features: enhancing API calls with SQL functions.

Data Mesh vs. Data Fabric: How to Choose the Right Data Strategy for Your Organization

Implementing a modern, integrated data architecture can help you break down data silos, which cause C-suite decision-makers to lose 12 hours a week. Furthermore, more than 60% of organizations agree that data silos represent a significant business challenge. The solution is a data architecture that eliminates silos, and that’s where the data mesh vs. data fabric debate comes in. While both data architectures work to eliminate data silos, they differ in their approaches (more on that later).

What is End-to-End Testing? A Simple Tester Guide

End-to-end testing (E2E) is an important part of the software development process, serving as a comprehensive way to verify that applications and systems work properly not only in the testing enviroment, but also in real-life scenarios. It provides a level of assurance that your application will correctly exhibit behavior from start to finish.