Systems | Development | Analytics | API | Testing

%term

How to Create a Collapsible Filter Panel - Do More with Qlik

In my last blog / video. I showed you how to easily create visual buttons to apply selections and change their visual selection state so they can appear enabled or disabled (selected, not-selected). In this video I'll show you how to setup a filter panel using buttons and the layout container to create a simple collapsible filter panel that is both esthetic and functional while also providing real estate for your dashboard objects.

Improving Healthcare Data Governance and Integration with Astera

One of the key processes in healthcare data management is integrating data from many patient information sources into a centralized repository. This data comes from various sources, ranging from electronic health records (EHRs) and diagnostic reports to patient feedback and insurance details.

Web design trends to keep an eye on in 2024

What if your website still looked like it belonged on the older websites? Web design has come a long way from the days of heavy textures and 3D effects. Today, the field is all about sleek, user-friendly interfaces that cater to modern user needs. As we venture into 2024, staying ahead with the latest trends is more important than ever. In the early 2010s, a significant shift occurred in web design with the rise of mobile devices and responsive design.

Managing Go Processes

While working on an application that required executing a command to run a blocking program, such as a TCP/HTTP server, I encountered an interesting challenge. I needed a way to stop the application and its child processes when a signal was sent to the main program, such as SIGINT (Ctrl+C) or SIGTERM. This blog post shares my journey and the solutions I found to manage processes effectively in a Go application, focusing on Linux environments.

Exploring the Connection Between Data Governance and Data Quality

Data governance and data quality are closely related, but different concepts. The major difference lies in their respective objectives within an organization’s data management framework. Data quality is primarily concerned with the data’s condition. It ensures the data is complete, accurate, reliable, and consistent. On the other hand, data governance refers is the overall management, maintaining compliance, and ensuring the security of data assets within an organization.