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heibaiying/bigdata-notes

Analysis updated 2026-06-24

16,897JavaAudience · dataComplexity · 2/5Setup · moderate

TLDR

A Chinese-language beginner's guide to big data. Twelve tutorial tracks covering Hadoop, Hive, Spark, Flink, Kafka, HBase, Zookeeper, and more.

Mindmap

mindmap
    root((BigData-Notes))
      Inputs
        Chinese tutorial text
        Java code samples
        Scala code samples
      Outputs
        Install guides
        Command references
        Hands-on examples
      Use Cases
        Self-study big data
        Reference for daily work
        Java to big data on-ramp
      Tech Stack
        Hadoop
        Spark
        Hive
        Kafka
        Flink
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Code map

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What do people build with it?

USE CASE 1

Follow a structured learning path through Hadoop, Spark, and Kafka

USE CASE 2

Use as a reference for Hive and HBase commands during daily work

USE CASE 3

Copy the Java and Scala code samples as starting points for big data jobs

What is it built with?

HadoopSparkHiveKafkaFlinkJavaScala

How does it compare?

heibaiying/bigdata-notesnostra13/android-universal-image-loaderquestdb/questdb
Stars16,89716,85216,942
LanguageJavaJavaJava
Setup difficultymoderateeasymoderate
Complexity2/52/53/5
Audiencedatadeveloperdata

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 1h+

Content is in Chinese, so non-Chinese readers will need machine translation alongside the install steps.

In plain English

BigData-Notes is a comprehensive beginner's guide to big data technologies, written in Chinese. It is a structured collection of tutorials and notes covering twelve major tools and frameworks that are widely used in the big data industry. The guide covers Hadoop (a system for storing and processing very large datasets across many computers), Hive (a tool for querying big data using SQL-like language), Spark (a fast processing engine for large-scale data), Storm and Flink (tools for processing continuous streams of live data in real time), HBase (a database optimized for storing massive amounts of structured data), Kafka (a system for passing high-speed data between applications), Zookeeper (a coordination service for distributed systems), Flume and Sqoop (tools for moving data between systems), Azkaban (a workflow scheduler), and Scala (the programming language used by several of these tools). Each section includes introductions to the technology's core concepts, installation guides, command references, and Java or Scala code examples for common operations. The material is primarily written in Chinese and is structured as a learning path, taking someone from no big data knowledge through hands-on setup and use. You would use this resource if you are a developer or student looking to get started with big data technologies, especially within the Java ecosystem. No prior big data experience is assumed.

Copy-paste prompts

Prompt 1
Translate the BigData-Notes Spark section into English and give me a 2 hour quick start
Prompt 2
Use the BigData-Notes Hadoop install guide to set up a 3 node cluster on my Mac with Docker
Prompt 3
Pull the Kafka chapter and adapt the Java consumer example into Python
Prompt 4
Give me a 30 day study plan that covers HDFS, Hive, Spark, and Flink using BigData-Notes

Frequently asked questions

What is bigdata-notes?

A Chinese-language beginner's guide to big data. Twelve tutorial tracks covering Hadoop, Hive, Spark, Flink, Kafka, HBase, Zookeeper, and more.

What language is bigdata-notes written in?

Mainly Java. The stack also includes Hadoop, Spark, Hive.

How hard is bigdata-notes to set up?

Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.

Who is bigdata-notes for?

Mainly data.

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