Systems | Development | Analytics | API | Testing

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API Generation to ETL: How DreamFactory Handles Full Data Replication

While many API tools are available on the market—such as enterprise service buses (ESBs) like Apigee and MuleSoft, or low-code solutions like Hasura and CData—few offer the level of flexibility that DreamFactory does. A recent project underscored just how dynamic this lightweight, enterprise-ready API generation tool can be. In this article, we'll dive into this unique project and explore how DreamFactory proved to be much more than just an API generator.

Easily add chat to your React and React Native apps using our new custom hooks

We are excited to announce that the Ably Chat SDK for JavaScript now includes support for custom contexts and hooks for React and React Native applications allowing developers working with these platforms to integrate chat features in an efficient and idiomatic way. Ably Chat is designed to meet a wide range of chat use cases, such as livestreams, in-game communication, customer support, or social interactions in SaaS products.

Qlik AutoML Series - Understanding Coordinate SHAP Analytics - Video 5

In this video, we breakdown the analytics you can create from the provided Coordinate SHAP data when used within Qlik AutoML. SHAP data helps determine the WHY behind the machine learning model predictions. Learn how SHAP values break down the influence of individual features on specific outcomes, helping you gain deeper insights into model behavior. This is part 5 of the Qlik AutoML series, focusing on making machine learning more interpretable for users.

Future-Proof Your Analytics Tech Stack

Future-proofing your analytics tech stack is essential for ensuring the longevity and success of your software applications. As the final stage of the data journey, analytics transforms raw data into actionable insights that directly impact business decisions and customer satisfaction. To effectively fulfill this role, analytics systems must possess a high degree of flexibility and scalability, seamlessly integrating with diverse applications and data sources.

ETL, As We Know It, Is Dead

It’s a new world—again. Data today isn’t what it was five or ten years ago, because data volume is doubling every two years. So, how could ETL still be the same? In the early ‘90s, we started storing data in warehouses, and ETL was born out of a need to extract data from these warehouses, transform it as needed, and load it to the destination. This worked well enough for a time, and traditional ETL was able to cater to enterprise data needs efficiently.

Katalon Studio vs. Katalon Studio Enterprise: Full Comparison

“May Katalon be with you whenever you run your tests.” So you’ve heard of Katalon and decided to give it a try. We’re here to help you get the best experience possible out of it. In a way, Katalon serves as your entire software testing life cycle unified in one workspace. You get to do test planning, scripting (from no-code, low-code, to full-code mode), test management, test execution, and finally test reporting.

A Balanced Approach to IT Services Vendor Selection: Why One Size Does Not Fit All

In today’s complex technology landscape, enterprises face the challenge of selecting the right vendors for their business needs. With so many options available, decision-makers often turn to industry analysts for guidance, and the vendor evaluation reports these analysts to write. These reports are highly regarded tools that categorize and evaluate vendors based on various criteria. But should enterprises rely solely on vendors positioned in these reports?