arverma/TowardsDataEngineering

arverma/TowardsDataEngineering has 64 GitHub stars and 43 forks. GitHot measured 0 stars in 24 hours and 0 in 7 days. Last checked 2026-11-13 18:01 UTC. Last push 2023-02-04.

How these counts are measured

64 stars 43 Forks

Measured star growth

in 24h: 0
in 7 days: 0
in 15 days: Collecting history
in 1 month: Collecting history

Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.

About

This repo contains commands that data engineers use in day to day work.

Data

README.md

Original

Data Enginner's Essential Commands

Linux: Link
Python: Link
PySpark: Link
AWS: Link
- EKS: Link
- EMR: Link
- S3: Link
Terraform: Link
Git: Link
Helm: Link
- Jupyterhub: Link

Want to contribute?

The commands should not be copy-pasted from any source in bulk.
Only add those commands that you use more frequently but may be unknown to other developers.

Example: pwd, ls e.t.c., are not allowed

Follow the structure and don't forget to embed any reference links either in heading or command description.
- Put it inside a directory if applicable
- Give a proper heading
- Use markdown script for block code or inline code to embed commands
If the command heading is not sufficient to explain the uses, give 1 liner explanation with an example.
I would be happy to accept your pull request even if you add one good command than adding ten not so good commands.

Explore related projects

Asabeneh/30-Days-Of-Python

The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

78,704 stars