Mapping source columns with a data destination is arduous and time-consuming. Data fields can come from many source types and formats. Even though you are the expert on your datasets, you may require the assistance of IT to set up the mapping. However, the more sources, the more handoffs, the higher the possibility of errors. As organizational data has become more dispersed and voluminous across organizations and applications, it's more important than ever to ensure that you understand your data.

Component based development is growing in popularity. And it presents a viable alternative to choosing between a monolith and microservices. In this blog, we discuss the benefits of component based development and how teams can switch to a component based architecture in eight steps.

A hands-on guide to help you to get started with Appium 2.0, the new features, and how to install and use it locally or on Bitrise.

In Golang, the WithMessage() method allows you to annotate errors with an additional message. Often, error values by themselves don’t give enough context to be useful in debugging. Take, for example, Golang’s basic error handling technique: In Golang, errors are treated as values, so err contains the error value. In this situation, a developer could make use of the error package to add context to the code along with the failure path without destroying the original value of the error.

For the third consecutive year, we’re happy to announce that Kong has been recognized as a Leader in the Gartner Magic Quadrant for Full Life Cycle API Management and is positioned furthest to the right for Completeness of Vision. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document.

The metaverse is steering the next wave of digital transformation, which will provide insurers with powerful technology tools for differentiation as well as challenges to navigate. In the years ahead, the rise of the metaverse will begin to influence every facade of insurance, from the workforce experience to distribution, marketing, products, revenue pools, and operations.

We are excited to announce the release of NeoLoad 9.1. Along with enhancements to RealBrowser for browser-based testing (read the NeoLoad 9.0 release blog for more information on RealBrowser), we are also bringing you additional functionality to further increase NeoLoad’s value.

BigQuery performance helps Soundtrack Your Brand transform big data into music to offer businesses personalized music recommendations.

You can test the software under normal conditions, and that will tell you a lot about what it can and can’t do. What you need to know, though, is how robust that software is. How can it handle intense conditions? How does it cope with error handling? Essentially, you’re testing the software by pushing it beyond its limits, to see exactly when it breaks. That’s information that you need to have, as you’ll then see just how far you can push the software when using it.

Hugging Face is a popular model repository that provides simplified tools for building, training and deploying ML models. The growing adoption of Hugging Face usage among data professionals, alongside the increasing global need to become more efficient and sustainable when developing and deploying ML models, make Hugging Face an important technology and platform to learn and master.