In an iconic Top Gun scene, Charlie tells Maverick that a maneuver is impossible. Maverick replies, “The data on the MIG is inaccurate.” In the more recent sequel, despite his extensive, firsthand knowledge, Maverick is told “the future’s coming and you’re not in it.” While flying may be more automated now, the importance of accurate and diverse data for aviation safety remains — and is likely even more critical.

Understanding your personal finances involves knowing some important organizations in the financial world, especially credit bureaus. These bureaus, like Equifax, Experian, and TransUnion, gather financial data from various sources, such as banks and credit card companies. They then compile this information into individual digital credit reports. This article will take a closer look at how these credit bureaus work.

Learning is no longer the arduous task that many adults may recollect. In contemporary times, studying has become convenient, allowing individuals to engage in educational pursuits anytime and anywhere using just a smartphone. The education app development sector has evolved into a hub for technological innovations, presenting a substantial niche for business endeavors. Numerous enterprises, including Samsung, Dell, and Fujitsu, are actively investing in the smart education and eLearning sector.

By combining custom errors, named functions, and Bugfender, you can create a robust JavaScript error-handling process that allows you to immediately identify the defects of your JavaScript apps. This article shows you some strategies, approaches, and best practices to ensure you create high-quality and high-performing JavaScript applications. Table of Contents.

Keboola's availability on Google Cloud Marketplace opens up the potential of Google Gemini, allowing users to tackle advanced data tasks in just a couple of keystrokes. This integration marks the next step for AI-powered data processing and unlocks new opportunities for Keboola and Google Cloud users, language model enthusiasts, data scientists, application builders, and data engineers.

Ever faced frustrating API documentation? Or wrestled with versioning headaches? Or battled integration nightmares? These are just some of the common challenges that plague the API development world. The good news is that there's a better way. By prioritizing five key areas – design clarity, comprehensive documentation, developer empathy, robust security, and automated workflows – you can overcome these hurdles and craft APIs that are a joy to use, maintain, and integrate with.

Generative AI tops every list of major financial services trends for 2024. And it’s no wonder — this new technology has the potential to revolutionize the industry by augmenting the value of employee work, driving organizational efficiencies, providing personalized customer experiences, and uncovering new insights from vast amounts of data.

In this series of posts, we will look closely at how Kong Konnect Data Planes can take advantage of Autoscalers running on Amazon Elastic Kubernetes Services (EKS) 1.29 to support the throughput the demands API consumers impose on it at the lowest cost. The series comprises four parts.

We want our engineering teams to move fast and be agile, yet many organizations confuse ownership of the infrastructure with ownership of the policies. The latter is what engineering teams want to rapidly iterate and develop their APIs. The former is the responsibility of the platform team. In this post, we'll talk about how to empower engineers with a secure API infrastructure strategy. This is part of a series on becoming a secure API-first company.

Databricks is a popular platform for running Apache Spark workloads in the cloud. While Databricks makes it easy to spin up Spark clusters on demand, this flexibility can also lead to higher costs if not managed properly. In this article, we’ll explore some techniques for optimizing your Databricks clusters to reduce costs without sacrificing performance.