Systems | Development | Analytics | API | Testing

%term

Batch Processing vs. Stream Processing: A Complete Guide

Every organizational activity or interaction today generates data. This quickly creates large amounts of data at organizational and departmental levels, but data generation is only the beginning. No matter how much raw data you have at your disposal, you can only leverage it fully if you know how to process it correctly for your requirements. You can process data flows using one of two approaches: batch processing or batch processing.

Comprehensive Guide to EDI Documentation

Believe it or not, there was a time when healthcare providers, global enterprises, Ecommerce stores, and other organizations used proprietary—and often very different—methods to communicate with other businesses for everything from invoices to purchase orders. You can maybe imagine how difficult communication between businesses was before the introduction of EDI.

Build a One-Product Shop With the Python Django Framework and Htmx

This is the first of a two-part series using Django, htmx, and Stripe to create a one-product e-commerce website. In this part, we'll start our Django project and integrate it with htmx. In the second part, we'll handle the orders with Stripe. Let's get going!

AI in Software Testing - What it is and How to use it?

‍ The rise of artificial intelligence (AI) in testing is enabling more predictive and intelligent test generation, execution, and defect analysis. This shift aims to reduce the time and effort required for manual testing to enhance test coverage and improve the overall software quality. Justifiably, key insights from Fortune Business project the growth of the AI-enabled testing market from USD 736.8 million in 2023 to USD 2,746.6 million by 2030.

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.