Extracting Data from Multiple Data Sources — If you’re in tech, chances are you have data to manage. Data grows fast, gets more complex and harder to manage as your company scales. The management wants to extract insights from the data they have, but they do not have the technical skills to do that. They then hire…

Data Engineering is the new Data Science — All of us have heard about the title — Data Scientist, the sexiest job of the 21st Century. But is it really? For many people who are new to the data industry, Data Science will be the first thing they hear about, and the title just sticks. …

Data Engineer Explains the Data Lakehouse Architecture — “Mark my words, AI is far more dangerous than nukes.” — Elon Musk Data runs the world now, I write and talk about it all over my profile. As data evolves, businesses are thinking of ways to utilize their data better. Ever since the inception of ChatGPT, it further triggered…

Hey Devarsh, thanks for writing in and I appreciate you coming back to this story even after such a long time! I actually wrote a piece about inflation, expenses and the SNP500. You can find it here. https://medium.com/datadriveninvestor/how-much-and-how-long-should-you-invest-to-retire-early-814df55e2c41 I am also working on another piece to further explain inflation actually. Hope it helps!

Level up your Data Pipelines! — Everyone: What do Data Engineers do? Me: We build pipelines. Everyone: You mean like a plumber? Something like that, but instead of water flowing through pipes, data flows through our pipelines. Data Scientists build models and Data Analysts communicate data to stakeholders. So, what do we need Data Engineers for? …

Data pipelines require version control too! — If you’ve ever dealt with code collaboratively, you’d understand the importance of version control and branching strategies. These are the key tools that allow multiple developers to work on a project in parallel. Without them, your product is very likely to break. For those who don’t understand what version control…

Once you go Plotly, you can’t go back — Data Visualization is the language of Data Scientists. If you are in the Data Industry, chances are you would need to present data to someone. You can’t do that without some visualization magic. As the tech industry matures, the demand for better visualizations increases. Each type of visualization has its…

Using Data Science to Estimate Retirement — In 2021, millennials are determined to retire early. The determination does not mean they are lazy. In fact, millennials are more determined to pursue their passion in life, after solving their financial problems. However, determination does not equal results. …

A data scientist’s productivity toolkit — Hi Everyone, We’re here to talk about productivity and organization today. If you work in data, it is even more important to get your life organized, as your data won’t be. Productivity is being able to do things that you were never able to do before — Franz Kafka When…