CHcharlysl·Jul 29, 2019Submission
382 points · Open discussionandkret
Cookbook
Python2019–2019
andkret / Cookbook
Cookbook
The Data Engineering Cookbook
3Distinct people
3Mentions
0Explicit recommenders
15.5KGitHub stars
What to know before exploring
What it is
The Data Engineering Cookbook
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
No recommendation phrase was found in the indexed comments.
No classified warning is attached to this page. Read the discussions before treating silence as approval.
Also in these discussions
No other repository is repeatedly linked in the same discussions.
This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by day3 dated mentions
Observed mentions: 2019-07-09 19:41:37 UTC to 2019-07-29 13:08:26 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Jul 9 | 2019-07-09 00:00:00 UTC | 2019-07-10 00:00:00 UTC | 1 | 1 | 0 |
| Jul 10 | 2019-07-10 00:00:00 UTC | 2019-07-11 00:00:00 UTC | 0 | 0 | 0 |
| Jul 11 | 2019-07-11 00:00:00 UTC | 2019-07-12 00:00:00 UTC | 0 | 0 | 0 |
| Jul 12 | 2019-07-12 00:00:00 UTC | 2019-07-13 00:00:00 UTC | 1 | 0 | 1 |
| Jul 13 | 2019-07-13 00:00:00 UTC | 2019-07-14 00:00:00 UTC | 0 | 0 | 0 |
| Jul 14 | 2019-07-14 00:00:00 UTC | 2019-07-15 00:00:00 UTC | 0 | 0 | 0 |
| Jul 15 | 2019-07-15 00:00:00 UTC | 2019-07-16 00:00:00 UTC | 0 | 0 | 0 |
| Jul 16 | 2019-07-16 00:00:00 UTC | 2019-07-17 00:00:00 UTC | 0 | 0 | 0 |
| Jul 17 | 2019-07-17 00:00:00 UTC | 2019-07-18 00:00:00 UTC | 0 | 0 | 0 |
| Jul 18 | 2019-07-18 00:00:00 UTC | 2019-07-19 00:00:00 UTC | 0 | 0 | 0 |
| Jul 19 | 2019-07-19 00:00:00 UTC | 2019-07-20 00:00:00 UTC | 0 | 0 | 0 |
| Jul 20 | 2019-07-20 00:00:00 UTC | 2019-07-21 00:00:00 UTC | 0 | 0 | 0 |
| Jul 21 | 2019-07-21 00:00:00 UTC | 2019-07-22 00:00:00 UTC | 0 | 0 | 0 |
| Jul 22 | 2019-07-22 00:00:00 UTC | 2019-07-23 00:00:00 UTC | 0 | 0 | 0 |
| Jul 23 | 2019-07-23 00:00:00 UTC | 2019-07-24 00:00:00 UTC | 0 | 0 | 0 |
| Jul 24 | 2019-07-24 00:00:00 UTC | 2019-07-25 00:00:00 UTC | 0 | 0 | 0 |
| Jul 25 | 2019-07-25 00:00:00 UTC | 2019-07-26 00:00:00 UTC | 0 | 0 | 0 |
| Jul 26 | 2019-07-26 00:00:00 UTC | 2019-07-27 00:00:00 UTC | 0 | 0 | 0 |
| Jul 27 | 2019-07-27 00:00:00 UTC | 2019-07-28 00:00:00 UTC | 0 | 0 | 0 |
| Jul 28 | 2019-07-28 00:00:00 UTC | 2019-07-29 00:00:00 UTC | 0 | 0 | 0 |
| Jul 29 | 2019-07-29 00:00:00 UTC | 2019-07-30 00:00:00 UTC | 1 | 1 | 0 |
What Hacker News says
3 sourcesList of resources here:
https://github.com/adilkhash/Data-Engineering-HowTo
And here is a (free) book you might like:
https://github.com/andkret/Cookbook
"I get asked super often how to become a Data Engineer. That's why I decided to start this cookbook with all the topics you need to look into.
It's not only useful for beginners, professionals will definitely like the case study section."
Also +1 for Kleppmann's book mentioned below. That thing is awesome.
In Ask HN: Best resources, books, & courses on Data Engineering?Data Engineering Cookbook [pdf]
4 points · Open discussion