Contribution activity and bus factor of DataTalksClub/data-engineering-zoomcamp

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Evolving ✨

Contribution activity is growing

Why DataTalksClub/data-engineering-zoomcamp is evolving?

The result is based on ratio of number of commits and code additions from initial and final time ranges.

Initial time range – from 14 Aug, 2023 to 14 Nov, 2023

Final time range – from 15 May, 2024 to 14 Aug, 2024

From 1 to 1 commits per week

From 9 to 58 additions per week

544%

From 12 to 1 deletions per week

-92%

Data calculated on 14 Aug, 2024

Bus factor of DataTalksClub/data-engineering-zoomcamp

What is Bus factor?

It is basically a number of most active contributors responsible for 80% of contributions.

Bus factor tries to assess "What happens if a key member of the team is hit by a bus?". The more there are key members, the lower the risk.

The DataTalksClub/data-engineering-zoomcamp repository has a bus factor of 16.

Low risk, knowledge is well distributed among the team members

Bus factor was measured on 14 Aug 2024

Repository summary

This GitHub repository, created by the DataTalks Club, houses materials for an educational course called Data Engineering Zoomcamp. The course's main objective is to teach fundamental data engineering concepts.

The repository is organized into several folders that correspond to different weeks of the course. Each folder typically contains a README file that provides an overview of the week's material, as well as related files such as Python notebooks and datasets.

Topics covered in the course include databases, data warehousing, orchestration, streaming, and others. Some of the specific technologies discussed in the course are Postgres, Apache Airflow, and Apache Kafka.

The repository also contains homework assignments that allow students to practice what they've learned. The assignments generally involve working with the specific technologies covered during the week.

Overall, this repository can serve as a valuable resource for individuals looking to gain a comprehensive introduction to data engineering or expand their existing knowledge on the topic.