In today's hyperconnected world, where negative reviews on social media can wreak havoc on a company’s reputation, delivering an exceptional customer experience isn't just a luxury—it's a business imperative. Companies are locked in a fierce battle for customers that is primarily based on their ability to deliver outstanding customer experiences (CX). According to research by The Conference Board, 65% of CEOs globally prioritize investing in strategies to improve CX.

Why did we choose MongoDB for our projects? Here’s a quick overview of the five big reasons that convinced us. From its perfect fit with JavaScript to its unmatched flexibility and growth.

Implementing an API gateway API key is key to securing your APIs. In this guide, you’ll learn to generate and apply these keys, ensuring your AWS API gateway effectively authenticates and processes authorized client requests. We’ll dive into setup procedures, management tips, and security best practices to help you maintain robust access control. Get ready to fortify your services’ entry points.

At NodeSource, we understand the hesitance and scrutiny that often accompany claims of "Node.js compatibility". The Node.js ecosystem is vast and intricate, and as Matteo Collina rightly points out, passing a "hello world" example is just the start. We believe N|Solid should be a component of every Node.js project, especially in production, to provide developers and organizations with the most advanced performance and security observability tooling.

Qlik is a vital and powerful analytics tool that’s used by companies across every sector, including gaming giant SEGA, and the company continues to improve its offerings, from SaaS to cloud solutions. With an ever-growing collection of capabilities, there are bound to be a few features that even the most expert Qlik users may not utilize. That’s why we’ve put together a list of the most underrated Qlik capabilities that every data master (and junior!) should know.

Headline: The transition to Codemagic made our CI builds faster and more reliable and positively impacted the experience of contributors contributing to our open-source project, Tuist. Thanks to Codemagic’s support, we can bring new free goods to the Swift community and the ecosystem of app developers.

In this blog series, I am exploring the “sliding doors”, or divergent paths, for creating value with data across different use cases, practices, and strategies. In this post, I want to discuss how to generate value with Data Products. As I reviewed in my last blog, grabbing the door to the better path for managing your data isn’t just about solving your particular use case: it’s ultimately about delivering value for your business.

Considering BigQuery vs. Redshift for your data warehousing needs? This guide is for you. Both BigQuery and Redshift stand as leading cloud data warehouse solutions each offering a multitude of features catering to multiple use cases. Google’s BigQuery offers seamless scalability and performance within its cloud platform, while Amazon’s Redshift provides great parallel processing and tuning options.

In this article, we present some best practices and key concepts for using Confluent Schema Registry.