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This repository contains a hands-on lab on Extract, Transform, Load (ETL), developed as part of the "IBM: Python for Data Engineering Project" course on edX. It demonstrates using Python to extract data from various sources, transform it for analysis, and load it into databases, highlighting essential data engineering skills and practices.

active 2024-05-28 → 2024-05-28 (UTC)

Complete coverage27,759 / 27,759 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-14 (UTC)
Events
8
Pushes
6
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2024-05-28 to 2024-05-28. Pushes: 6 total, peak 6 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
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Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
avilanac6600

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.