Introduction Data transformation is a critical step in modern data analytics, and dbt (Data Build Tool) has emerged as a leading solution for transforming raw data into actionable insights. But what exactly is dbt, and how does it work? In…
Rule engines have the potential to streamline decision-making processes by separating business logic from the application code, allowing for greater flexibility and adaptability. However, despite these benefits, the adoption of rule engines often faces significant hurdles. In this article, I’ll…
The harsh truth about the analytics industry is that “simple doesn’t sell”. It’s challenging to advocate for simplicity in data architecture because simple solutions often appear effortless, and who wants to invest in something that looks easy? While everyone claims…
I accidentally re-invented a Data Lakehouse. Over the last couple of months, I chipped away at my car price estimation tool whenever I could muster up some free time. I haven’t put much thought into the overall data architecture. This…
Goodbye, DBeaver! For the terminal lovers, have you checked out Harlequin? It’s a SQL IDE that you can easily install via pip and run right in your terminal. I’ve found it super user-friendly—really straightforward to install and use. Sure, it…
🚀 My personal Hall of Fame of tools and technologies 🛠️ (Python ecosystem edition) These tools and technologies have served me well over the years, so I thought I’d share them: 🔵 Click, Loguru: Creating command line interfaces🔵 dotenv, pyyaml:…
Relying solely on the outputs of machine learning (ML) models without a thorough verification can lead to unexpected results. Continuing from my previous DevLog, I embarked on a project to analyze car prices across various brands using data from AutoScout24.…
As a tech enthusiast and an follower of the “eat your own dog food” philosophy, I’ve embarked on a project that intertwines my passion for cars with my profession in Machine Learning. In this initial development log, I’d like to…
In Snowflake, databases are similar to virtual hard drives where you store data, while warehouses are the virtual compute resources you use to run analytical queries. In today’s data-driven world, having a robust and efficient data management system is crucial…
Explore the top Python libraries for Machine Learning in 2024. Discover how TensorFlow, PyTorch, Scikit-learn, and emerging tools like PyCaret are revolutionizing fast model development. Stay ahead in ML with these powerful, user-friendly Python libraries.