May 25, 2022, 1:30 p.m. | Andrey Shalitkin

Towards Data Science - Medium towardsdatascience.com

A bird-eye overview of the basic principles of data transformation

Image by Engin Akyurt on Unsplash

This post is a part of the “Analytics for startup” series so it might be helpful to the ones who just started figuring out how to build their own BI solution. I tried to answer the most common question that I frequently hear at the beginning of the BI implementation stage. Why do we need to do any data transformation? A very fair question …

business intelligence data data analysis data science data transformation data warehouse

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US