Systems | Development | Analytics | API | Testing

As I reflect (although a better word would maybe recover) on the incredible experience at Qlik Connect in sunny Orlando, I am filled with excitement and pride. This year’s event was particularly special because it was our first opportunity to showcase the expanded Qlik portfolio, including our robust data foundation, Qlik Talend Cloud, and Qlik Answers, our all-new knowledge assistant that delivers personalized, relevant answers to questions generated from a variety of unstructured data sources.

In the fast-evolving landscape of data science and machine learning, efficiency is not just desirable—it’s essential. Imagine a world where every data practitioner, from seasoned data scientists to budding developers, has an intelligent assistant at their fingertips. This assistant doesn’t just automate mundane tasks but understands the intricacies of your workflows, anticipates your needs, and dramatically enhances your productivity at every turn.

HTTP status codes are an essential part of web communication. They provide information about the outcome of a request made to a server. Whether you’re a seasoned developer or a student just starting out, understanding these codes can significantly enhance your ability to debug and optimize web applications. This blog will break down the most common HTTP status codes that one generally encounters, explain their meanings and how to handle them.

Nowadays, businesses need to integrate with various applications and services to streamline operations and improve customer experience. Application Programming Interfaces (APIs) play an important role in enabling this integration by letting different software systems to communicate and share data. API integration platforms are the key to maximizing the potential of your APIs.

When two different software applications want to join forces by sharing information, it’s not always a perfect union. Different database structures, programming languages, and network protocols tend to complicate the process. When reading about the various API technologies, you’ve probably come across two terms, OData vs REST, and wondered, “what’s the difference?” It turns out that OData vs. REST are two closely related concepts.

Datastream’s new append-only mode streamlines the process of replicating changes from an operational databases to BigQuery.

There are several K6 alternatives with various degrees of reporting, ease-of-use and extensibility. We review 5 of them here!

Engineering teams need a collaborative tool purpose-built for the complicated and multi-layered system architectures that underpin most companies’ operations.

Quality assurance (QA) is a critical aspect of software development. It ensures that products function correctly, meet user expectations, and maintain high reliability. Without proper QA, software can be riddled with bugs and errors, leading to user frustration, security vulnerabilities, and financial losses. Companies reported 7 billion in losses in the US alone due to software bugs in 2020.

80% of organizations use APIs, highlighting the significant adoption rate and an upward trend for greater API usage. APIs can be important for businesses, but creating them from scratch is complex. With the advent of various API generation tools, the task of developing APIs has been simplified. API generation tools automate the creation process of an API based on existing code and specifications, such as pre-defined data sources, functionalities, and access control.