Data is the key to better decision-making. Organizations diligently collect vast amounts of data, building data lakes and warehouses to unify it all. The promise is clear - To convert all this data into actionable insights and drive tangible business results. But the reality? Transforming data into actionable domain-specific intelligence and tangible business outcomes remains challenging.

Developing internal tools often requires significant time and coding skills, which pose challenges for many businesses. However, low-code platforms like Retool are changing the landscape, enabling the creation of admin tools with minimal coding. Highlighting the growing significance of low-code development, Gartner predicts that this approach will account for over 65% of all application development activity by the end of 2024.

The shift-right testing approach moves testing to later in your production cycle. Also known as “testing in production,” with shift-right, you test software after it has been deployed. It gives you continuous feedback based on real-world user interactions. However, there are major drawbacks to the approach. For example, testing in production risks disrupting your user satisfaction and can mean you catch issues too late to respond to them effectively.

We’re happy to announce that Data Apps, which have been in Public beta since September 2023, are finally here for everyone. We received great feedback from the Beta users, and we are excited to roll out Data Apps to general availability. There is also few updates, see "What's new" below. Data Apps is a functionality that allows Keboola users to create interactive web applications that can be infused with your company’s data. It’s quick and easy and only requires knowledge of Python.

Before diving into template selection, it's crucial to grasp the essence of a test plan. It's a blueprint outlining the testing strategy, objectives, scope, resources, and schedule for a software project. A well-crafted test plan ensures efficient testing, reduces defects, and improves product quality.

The inclusion of a stable test runner in Node.js(version 18+) has generated significant debate in the community, given the abundance of established third-party testing frameworks. While its arrival naturally sparks comparisons to existing tools, this article won't focus on justifying its place in the ecosystem. Instead, we'll embark on a hands-on exploration of the test runner's core capabilities, from writing and executing tests to organization and customization features.

From custom-made to plug-and-play forms of authentication, Ruby developers have plenty to choose from these days. Yet, as you may know, building your own solution can be costly and dangerous. If Devise is the de facto standard for most teams, an alternative might simplify the lives of most. This article will cover the setup and use of Auth0 in a Ruby on Rails application, including everything you need to get going properly, from handling roles to relying on multiple providers to authenticate users.

In the rapidly evolving landscape of software development, efficient test data management (TDM) is crucial for ensuring high-quality applications. With the right Test Data Management tools, development teams can streamline their testing processes, reduce errors, and accelerate delivery cycles. In this blog, we will explore the 7 best test data management tools in 2024, focusing on their advantages, disadvantages, and pricing.

A potential recipe for disaster proved to be the focus of every data executive’s agenda over the last year. A year ago many data leaders were caught off-guard. Employees embraced new gen AI tools with fervor, driving interest in all AI initiatives. Generative AI had penetrated the enterprise, with gen AI positioned in the Peak Of Inflated Expectation segment on the Gartner Hype Cycle for Artificial IntelligenceI, 20231.