Systems | Development | Analytics | API | Testing

Databox is mostly known for its business analytics and visualization capabilities. As a single-product company for the majority of its existence, it was developed in a way that catered to just one product. As the company began its path as a startup, it was convenient to keep the architecture simple and flexible to quickly adapt to change and align direction if needed to ensure business success.

On-premises software is stored on local machines, such as desktop computers or servers, so people connected to a network can access critical features. Within an enterprise context, on-premises software almost exclusively exists on on-site servers that multiple employees can access. You might already know that many business leaders want to embrace cloud strategies.

The focus of today’s new-car buyer centers more on the “Digital Cockpit ecosystem experience” and less on the traditional features, such as horsepower and fuel economy. The automotive industry has made it a priority to deliver that experience with fully connected in-vehicle infotainment (IVI) systems of touchscreen displays, voice commands, and integrated information and entertainment functions.

The conversation around data fetching and API management is increasingly dominated by two major players: GraphQL and REST. These technologies, while serving the same purpose of facilitating communication between client and server, offer markedly different approaches and philosophies. GraphQL, emerging as a powerful alternative to the traditional RESTful architecture, brings a new dimension to data retrieval efficiency and flexibility.

Kong Konnect is an API lifecycle management platform streamlining the connectivity between your APIs and microservices. The control plane is hosted in the cloud by Kong and available across the US, EU, and AU, while the data plane is managed by you within your preferred network environment, like Koyeb.

The best marketing is truly data-driven, creating powerful product promotions and offers through an understanding of customer needs and preferences. But for many organizations, building this understanding is more akin to solving an ever-growing jigsaw puzzle (with no easy edge pieces!) than reading data insights from a beautiful dashboard.

Digital government and digital services are the top priorities for state governments, according to the recently published National Association of State Chief Information Officers (NASCIO) Top 10 Policy and Technology Priorities for 2024. Tied for first place is cybersecurity and risk management, followed by legacy application modernization.

The US government software modernization policy encourages federal agencies, including the Department of Defense (DoD), to leverage investments already made in application development and authorizations to operate (ATOs). The goal of repurposing existing, working applications is to enable agencies to reduce development time and costs by leveraging software that has been purchased and implemented by another team.

File manipulation is an incredibly common programming task with endless applications. It has two main sides: reading and writing. This post will focus on the “reading” bit, so if you’ve just googled “C# read file” and ended up here, search no more—we have the guide you need! We’ll start by covering some prerequisites you need to follow, then dive right into the guide.

Google Analytics is one of the most widely used web analytics platforms for businesses working to understand web traffic trends. Google Analytics integrates with many other business applications and data sources, but for some organizations, these integrations are difficult to set up for more complex platforms like data warehouses and lakes. Fortunately, a number of leading data integration and ETL companies offer accessible connectors, tools, and support specific to Google Analytics integrations.