Schrödinger’s data

Did you know that before Schrödinger shoved a cat into a box he was experimenting with putting spreadsheets to file shares and creating client records in CRM systems? I know, I couldn’t believe it either. So what did he find out? In Schrödinger’s late 20s, when he worked as first Data Management Consultant, he realisedContinue reading “Schrödinger’s data”

Challenges of data engineering people don’t talk about

Imagine yourself being a data engineer. You wake up with birds chirping outside. Feeling fresh, so you quickly brush your teeth and take a shower. On a way to work you grab yourself a nice latte from your favourite coffee place. The one which you smell already before you turn the corner. The indistinguishable smellContinue reading “Challenges of data engineering people don’t talk about”

ETL vs ELT

Have you seen something like “Future is ELT!“, “ETL is dead! Long live EL(T)!” etc.? and you wonder what is it about? TL;DR; There is no point in distinguishing them! “One is Extract, Transform, Load. The other one Extract, Load, Transform. They are not the same you silly thing.” you say. Let’s break it down.Continue reading “ETL vs ELT”

Data science and fitness, part 1

An ad on youtube pops up. A model who was exercising for the last 15 years with a personal trainer and a dietician, spending the last three days on a water fast asks you:  “Do you want a six-pack in just six weeks?!”  “Don’t mind if I do!”. You shout enthusiastically. Seeing yourself shredding some cheddarContinue reading “Data science and fitness, part 1”