- Data Governancea post for students in my database course Ever wondered what keeps all that digital information flowing smoothly, securely, and ethically in the vast world of data? It’s not magic, it’s data governance. Think of data governance as the traffic laws, road signs, and even the emergency services of the data highway. Without them, it Read More
- Visualizing Your Data: A Guide for Database StudentsWelcome, aspiring data navigators! In your journey through the world of databases, you’ve likely spent a lot of time learning how to store, organize, and retrieve information. But what happens after you pull all that valuable data? How do you make sense of large tables filled with numbers and text? This is where data visualization Read More
- Reports: Sharing Your Data with the Worlda post for students in my database course Effective communication is paramount in the field of data analytics, and often, the culmination of a data professional’s hard work is presented in a report. These reports are not merely collections of numbers; they are powerful tools designed to translate complex data into actionable insights, enabling informed Read More
- Cleaning Dataa post for students in database course Ever heard the saying, “Garbage in, garbage out”? It’s a fundamental truth in the world of data analytics. Imagine you’re trying to bake a perfect cake, but half your ingredients are spoiled, or you’ve accidentally doubled the sugar in one bowl and forgotten it entirely in another. Your Read More
- The Deceptive Simplicity of Percentages: Why Our Grading Systems Need a RevolutionFor decades, percentages have been the cornerstone of academic assessment, a seemingly objective and straightforward way to quantify student performance. We assign a numerical score, average it out, and present it as a clear indicator of learning. Yet, beneath this veneer of simplicity lies a system riddled with flaws, one that actively hinders effective assessment, Read More
- ETL and ELTa post for students in my database course Queries are fundamental to data analytics, enabling the extraction and manipulation of information from databases and other sources. When working with data, particularly in building data pipelines, two primary methodologies for moving and preparing data are Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT). While both Read More