Understand the ACID and BASE in modern data engineering

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…

Hello, data enthusiast! In this article let’s discuss “Data Modelling” right from the traditional and classical ways and aligning to today’s digital way, especially for analytics and advanced analytics. Yes! Of course, last 40+ years we all worked for OLTP, and followed by we started focusing on OLAP. After cloud ear come into the picture… 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…

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…