Big Data 5 min read

Big Data Mastery Roadmap – Series Overview

An extensive roadmap series titled “Big Data Mastery Roadmap” outlines essential topics—from Java advanced features and JVM internals to Hadoop, Spark, Flink, and big-data algorithms—guiding engineers transitioning to big data development with curated references, updates, and author insights.

Big Data Technology & Architecture
Big Data Technology & Architecture
Big Data Technology & Architecture
Big Data Mastery Roadmap – Series Overview

Big Data Mastery Roadmap This series outlines the knowledge points and learning path for engineers transitioning to big data development, honoring the earlier Java engineer series and correcting errors from referenced works.

The series covers Java advanced features, JVM deep dive, distributed theory, network communication, Hadoop components, HiveSQL, HBase, Redis, Kafka, Spark, Flink, big data algorithms, and more, with continuous updates.

Table of Contents

* Big Data Mastery – Java Advanced Features (multithreading, concurrency, etc.) * Big Data Mastery – JVM Deep Dive and Interview Points * Big Data Mastery – Distributed Theory Foundations * Big Data Mastery – Zookeeper Paxos Consensus Algorithm * Big Data Mastery – NIO and RPC Basics * Big Data Mastery – Netty Network Communication * Big Data Mastery – Hadoop MapReduce * Big Data Mastery – Hadoop HDFS * Big Data Mastery – Hadoop YARN * Big Data Mastery – HiveSQL Advanced Tuning and Principles * Big Data Mastery – HBase Principles and Production Use * Big Data Mastery – Redis Advanced Features and Implementation * Big Data Mastery – Kafka Fundamentals and Stream Integration * Big Data Mastery – Spark Production Use (Part 1‑3) * Big Data Mastery – Flink Real‑Time Computing Engine (Part 1‑3) * Big Data Mastery – Big Data Algorithms (Part 1‑2)

Updated articles (to be published):

Java Advanced Features (Multithreading)

Java Advanced Features (Synchronized keyword)

Java Advanced Features (volatile keyword)

Java Advanced Features (Locks)

Java Advanced Features (ArrayList/Vector)

Java Advanced Features (LinkedList)

Java Advanced Features (HashMap)

Java Advanced Features (HashSet)

Java Advanced Features (LinkedHashMap)

Java NIO Overview

Java NIO Buffer

Java NIO Channel

Java NIO Selector

Java NIO Path and Files

Advanced Concurrent Containers (in progress)

Author’s Note

Learning can be both tedious and enjoyable; as an old saying goes, “The great road is perilous and long, few travel it to the end. You have set out, stay focused, and let memories fade naturally.”

He looked up with his hands behind his back, calmly saying, “The great road is perilous and long, few travel it to the end, you have set out, stay focused, and let memories fade naturally.”
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data engineeringDistributed SystemsLearning Path
Big Data Technology & Architecture
Written by

Big Data Technology & Architecture

Wang Zhiwu, a big data expert, dedicated to sharing big data technology.

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