heibaiying/BigData-Notes resource
大数据入门指南 :star: observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2734
- days_rel: n/a
- days_push: 971
- n_releases_24m: 0
Adoption not part of the score
16957 stars · 4274 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A Chinese-language open-source study guide covering the big data technology stack, including Hadoop, Hive, Spark, Flink, Storm, HBase, Kafka, Zookeeper, Flume, Sqoop, Azkaban, and Scala. It provides structured notes on concepts, installation, and cluster setup for each technology.
Use cases
- learn big data from scratch
- hadoop hdfs mapreduce yarn tutorial
- how to set up a hadoop cluster
- spark and flink study notes
- kafka and zookeeper learning guide
- big data learning roadmap
- install guide for big data tools
When to choose
- you are a beginner wanting a structured Chinese-language introduction to the big data ecosystem
- you need concise notes and installation guides for Hadoop-family tools
- you want a free offline-readable big data curriculum
When to avoid
- you need official, up-to-date documentation for a specific tool version
- you want hands-on production-grade code or runnable projects rather than notes
- you need English-language learning material
Facets
learning-resource · maturity maintenance
documentation developer-tools big-data tutorials microservices cross-platform hadoop spark hive kafka hbase flink storm zookeeper flume sqoop azkaban scala chinese-language study-notes data-engineering
1 source
- readme: https://github.com/heibaiying/BigData-Notes · fetched 2026-08-28 · 52e3b6b843ac
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| heibaiying/BigData-Notes | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="heibaiying/BigData-Notes")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem