Systems | Development | Analytics | API | Testing

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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.

Mastering Golang Mocks for Efficient Testing and Improved Code Quality

Although GoMock is one of the most popular ways to create mocks in Golang, it’s important to understand the broader landscape of mocking methods in the language to fully leverage its potential value in testing. Mocking is a powerful technique that allows developers to isolate their code, improve test reliability, and ultimately enhance overall code quality.

S1.E18: API testing | QA Therapy Podcast

API testing is crucial for enhancing the overall quality and reliability of our software. By identifying bugs and errors early in the development process, developers can address them promptly, preventing them from escalating into significant issues. Today, we're fortunate to have Diogo Rede as our guest. As a Solution Architect and Test Advocate with extensive experience in testing and automation.

Maximizing Business Impact: Best Practices of AI Product Analytics

According to Gartner, 87% of organizations are classified as having low business intelligence and analytics maturity, meaning they struggle to extract value from their data. This alarming statistic highlights a common struggle—turning raw data into actionable insights. Product teams often find themselves overwhelmed by the sheer volume of information they collect. Extracting meaningful patterns, deciphering user behavior, and predicting market trends from this sea of customer data can seem daunting.