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adilkhash
Data-Engineering-HowTo
Systems & Infrastructure2019–2019
adilkhash / Data-Engineering-HowTo

Data-Engineering-HowTo

A list of useful resources to learn Data Engineering from scratch

Systems & InfrastructureLearning & ReferenceScience & EngineeringData & DatabasesDevOps & Cloud
Explore on GitHubRead Hacker News discussions
2Distinct people
2Mentions
0Explicit recommenders
4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A list of useful resources to learn Data Engineering from scratch

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, 3:03:16 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 day2 dated mentions

Observed mentions: 2019-06-20 05:38:06 UTC to 2019-07-12 19:55:59 UTC.

012019-06-20 00:00:00 UTC to 2019-06-21 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsJun 202019-06-21 00:00:00 UTC to 2019-06-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-06-22 00:00:00 UTC to 2019-06-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-06-23 00:00:00 UTC to 2019-06-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-06-24 00:00:00 UTC to 2019-06-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-06-25 00:00:00 UTC to 2019-06-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-06-26 00:00:00 UTC to 2019-06-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-06-27 00:00:00 UTC to 2019-06-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-06-28 00:00:00 UTC to 2019-06-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-06-29 00:00:00 UTC to 2019-06-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-06-30 00:00:00 UTC to 2019-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-07-01 00:00:00 UTC to 2019-07-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJul 12019-07-02 00:00:00 UTC to 2019-07-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-07-03 00:00:00 UTC to 2019-07-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-07-04 00:00:00 UTC to 2019-07-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-07-05 00:00:00 UTC to 2019-07-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-07-06 00:00:00 UTC to 2019-07-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-07-07 00:00:00 UTC to 2019-07-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-07-08 00:00:00 UTC to 2019-07-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-07-09 00:00:00 UTC to 2019-07-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-07-10 00:00:00 UTC to 2019-07-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-07-11 00:00:00 UTC to 2019-07-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-07-12 00:00:00 UTC to 2019-07-13 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJul 12

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jun 202019-06-20 00:00:00 UTC2019-06-21 00:00:00 UTC110
Jun 212019-06-21 00:00:00 UTC2019-06-22 00:00:00 UTC000
Jun 222019-06-22 00:00:00 UTC2019-06-23 00:00:00 UTC000
Jun 232019-06-23 00:00:00 UTC2019-06-24 00:00:00 UTC000
Jun 242019-06-24 00:00:00 UTC2019-06-25 00:00:00 UTC000
Jun 252019-06-25 00:00:00 UTC2019-06-26 00:00:00 UTC000
Jun 262019-06-26 00:00:00 UTC2019-06-27 00:00:00 UTC000
Jun 272019-06-27 00:00:00 UTC2019-06-28 00:00:00 UTC000
Jun 282019-06-28 00:00:00 UTC2019-06-29 00:00:00 UTC000
Jun 292019-06-29 00:00:00 UTC2019-06-30 00:00:00 UTC000
Jun 302019-06-30 00:00:00 UTC2019-07-01 00:00:00 UTC000
Jul 12019-07-01 00:00:00 UTC2019-07-02 00:00:00 UTC000
Jul 22019-07-02 00:00:00 UTC2019-07-03 00:00:00 UTC000
Jul 32019-07-03 00:00:00 UTC2019-07-04 00:00:00 UTC000
Jul 42019-07-04 00:00:00 UTC2019-07-05 00:00:00 UTC000
Jul 52019-07-05 00:00:00 UTC2019-07-06 00:00:00 UTC000
Jul 62019-07-06 00:00:00 UTC2019-07-07 00:00:00 UTC000
Jul 72019-07-07 00:00:00 UTC2019-07-08 00:00:00 UTC000
Jul 82019-07-08 00:00:00 UTC2019-07-09 00:00:00 UTC000
Jul 92019-07-09 00:00:00 UTC2019-07-10 00:00:00 UTC000
Jul 102019-07-10 00:00:00 UTC2019-07-11 00:00:00 UTC000
Jul 112019-07-11 00:00:00 UTC2019-07-12 00:00:00 UTC000
Jul 122019-07-12 00:00:00 UTC2019-07-13 00:00:00 UTC101

What Hacker News says

2 sources
mindcrash·Jul 12, 2019
List 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?

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