Next Steps
You now understand the four pillars of Apache Hadoop — HDFS, MapReduce, YARN, and the Ecosystem. Here’s how to continue your journey:
Deepen Your Knowledge
- Advanced Topics — High Availability, Kerberos security, and cluster performance tuning
- Apache Hadoop Official Docs — Always the authoritative reference
- Hadoop: The Definitive Guide (O’Reilly) — The most comprehensive book on Hadoop
Try Real Data
Download a public dataset and experiment:
# Wikipedia pagecount data (a classic Hadoop dataset)
wget https://dumps.wikimedia.org/other/pagecounts-raw/2016/2016-01/pagecounts-20160101-000000.gz
hdfs dfs -put pagecounts-20160101-000000.gz /data/wikipedia/
# Run a word count job on it
hadoop jar $HADOOP_HOME/share/hadoop/mapreduce/hadoop-mapreduce-examples-*.jar \
wordcount /data/wikipedia/ /output/wiki-wordcount
Explore the Ecosystem
Once comfortable with the core, explore these projects:
| Next Step | Why |
|---|---|
| Apache Hive | Query HDFS data with SQL |
| Apache Spark | Faster, more flexible processing |
| Apache HBase | Random-access storage on HDFS |
| Apache Kafka | Real-time event streaming |