water8394/BigData-Interview resource
:dart: :star2:[大数据面试题]分享自己在网络上收集的大数据相关的面试题以及自己的答案总结.目前包含Hadoop/Hive/Spark/Flink/Hbase/Kafka/Zookeeper框架的面试题知识总结 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: 2579
- days_rel: n/a
- days_push: 1829
- n_releases_24m: 0
Adoption not part of the score
1660 stars · 444 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated collection of big data interview questions with summarized answers, covering Hadoop, Hive, Spark, Flink, HBase, Kafka, and Zookeeper. It is a Chinese-language study resource organized as markdown documents rather than software.
Use cases
- prepare for a big data engineer interview
- review Hadoop HDFS and Yarn concepts before an interview
- study Spark architecture and shuffle questions
- practice Hive SQL interview questions like TopN per group
- brush up on Kafka and Flink fundamentals
- find common big data framework interview questions with answers
When to choose
- you are preparing for big data engineering interviews covering Hadoop ecosystem tools
- you want concise Q&A style summaries of Spark, Flink, Kafka, and HBase concepts
- you prefer reading curated interview notes in Chinese
When to avoid
- you need runnable code, libraries, or tools
- you want up-to-date content, since the repo has not been updated since 2021
- you need English-language learning materials
Facets
learning-resource · maturity maintenance
documentation big-data tutorials developer-tools cross-platform interview-questions big-data hadoop spark flink kafka hbase hive zookeeper study-notes chinese
1 source
- readme: https://github.com/water8394/BigData-Interview · fetched 2026-08-28 · 738f00b4f39a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| water8394/BigData-Interview | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="water8394/BigData-Interview")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem