Data modeling techniques in modern data warehouse

Training programs on generative AI are now popping up everywhere. One of my connections called it “a joke” after enrolling in such a program. Many are expensive, time consuming and offer low value. Participants proudly display the certification and even praise the instructors. They don’t know that in the end, it won’t lead to any… Read…

Not long ago, I published an article entitled “The Sound that Data Makes”. The goal was turning data — random noise in this case — into music. The hope was that by “listening” to your data, you could gain a different kind of insights, not conveyed by visualizations or tabular summaries. This article is a… Read…

Introduction Dear Data Engineers, this article is a very interesting topic. Let me give some flashback; a few years ago, someone in the discussion coined the new word how ACID and BASE properties of DATA. Suddenly drop silence in the room. Everyone started staring at each other faces, few of them started saying H2SO4, HCL,… Read…

Image Source: Author Introduction Data Engineers and Data Scientists need data for their Day-to-Day job. Of course, It could be for Data Analytics, Data Prediction, Data Mining, Building Machine Learning Models Etc., All these are taken care of by the respective team members and they need to work towards identifying relevant data sources, and associated with… Read…