God of Big Data: A Comprehensive Learning Path and Systematic Resources for Big Data Engineers

"God of Big Data" is a project I started on GitHub in 2019 (GitHub URL: https://github.com/wangzhiwubigdata/God-Of-BigData).

This series of articles aims to guide engineers who want to work in big‑data development or transition from backend development to big‑data roles by outlining essential knowledge points and learning paths.

The project is now in its third version. Previous updates include:

【Big Data God Path】First version completed

Eight thousand miles of clouds and moon | From zero to big‑data expert learning guide

The first version focused on a basic learning path, interview materials, and some unstructured personal articles.

The second version provided a more complete learning route with additional supplements, and I answered numerous questions from readers.

The third version introduces systematic learning column resources, adding the following columns:

Multithreading and Concurrency

JVM

Hadoop

Hive

Spark

Kafka

HBase

ClickHouse

These columns are distributed across different modules; clicking a module leads to the corresponding CSDN column where readers can star and follow the content.

My personal career has shifted from C‑end platform development to B‑end system development, spanning backend, data, and algorithm domains. This transition demands higher-level system design, business understanding, and a deeper, more diverse tech stack.

From my experience, the skill requirements for B‑end development far exceed the C‑end focus on rapid feature iteration and tool stacking, highlighting a growing gap in architecture talent for the Chinese market.

My view on this issue is expressed in the article "Is there a serious talent gap among outstanding Chinese architects?" (link in the original text).

The repository has attracted over 5.5K stars and 2K forks, with contributors growing from 1 to 10. Contributions are welcome, but please do not alter the README formatting.

If you find this useful, please give it a like, view, and bookmark.

Additional related articles and resources:

Eight thousand miles of clouds and moon | From zero to big‑data expert learning guide

What are we really learning when we study Flink?

193 articles beating Flink – a collection you need to follow

Hello, I am Wang Zhiwu, a hardcore original author in the big‑data field. I have worked on backend architecture, data middleware, data platforms & architecture, and algorithm engineering. My focus is on real‑time big‑data dynamics, technical improvement, personal growth, and career advancement. Feel free to follow me.