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Simon Späti 🏔️
@ssp.sh

Today, I'm sharing «The Data Engineering Toolkit» a set of tools and fundamentals for any data engineer who is getting started or wants to understand the role of a modern data engineer. Maybe you remember the book: The DWH Toolkit. I take a step back, focusing on the essential toolset and knowledge

motherduck.comThe Data Engineering Toolkit: Essential Tools for Your Machine - MotherDuck BlogA comprehensive list of essential tools and environments every data engineer needs, from Linux commands to Docker and modern programming languages | Reading time: 19 min read

3 reposts28 likes

Simon Späti 🏔️
@ssp.sh

We'll discuss OS choices, Linux commands, and how to leverage command-line tools for simple and complex data tasks on local machines or servers. We'll explore developer productivity boosters like modern IDEs, Codespaces, and Notebooks, along with essential programming languages for data engineering

Simon Späti 🏔️
@ssp.sh

Helpful Linux DE commands and tools — beyond the basics like ls, cd, and mkdir, data engineers need specialized tools. > curl - Quick API checks > make/cron - Simple task orchestration > ssh/rsync - Remote access & sync > tail - View file endings

Simon Späti 🏔️
@ssp.sh

ENV variables are your friends when managing different environments without copying settings. Docker has transformed how we package and run software like shipping containers revolutionized global trade with standardized sizes. One Dockerfile, run anywhere - whether locally, CI/CD, or K8s clusters.

Simon Späti 🏔️
@ssp.sh

Command Line Magic with the Unix philosophy in mind. Here's how to process cryptocurrency market data with a single line: ``` bat crypto_raw.csv | tr -d '"' | cut -d',' -f1,3 | sort -t',' -k2 -nr | head -n 4 ``` This pipeline removes quotes, extracts specific columns, sorts by market cap, and more