Data Tech Simplified

System Design for Analytics Engineers

This is comprehensive guide on System Design for Analytics Engineers. It's time to step away from just writing queries and start peering inside the engine to understand how databases are built, how they break, and how to architect for massive scale

Python for Analytics Engineers: From Scripting to Software Engineering

A comprehensive roadmap taking Analytics Engineers from writing basic scripts to building robust, high-performance data architectures using senior-level Python concepts.

All the Ways You Can Model Your Data (And When to Use Each)

Learn to sculpt raw data into powerful insights as we guide you through every major data modeling technique, from relational models to graph databases.

From Ad-Hoc to Engineering-Grade: A Practical Guide to Integrating dbt into Your Data Team's Workflow

A comprehensive blueprint for transforming your dbt project from scattered scripts into a production-ready data platform with clear naming conventions, robust testing, and engineering best practices.

How to Write Clean Code: A Data Scientist's Guide

Are you tired of opening your old notebooks and wondering what your code does? In this episode, we break down the essential principles of clean code specifically for data scientists.
 
Read the original article here:
'https://datatechsimplified.dev/blog/how-to-write-the-clean-code-a-data-scientists-guide'