Skip to content
_CORE
AI & Agentic Systems Core Information Systems Cloud & Platform Engineering Data Platform & Integration Security & Compliance QA, Testing & Observability IoT, Automation & Robotics Mobile & Digital Banking & Finance Insurance Public Administration Defense & Security Healthcare Energy & Utilities Telco & Media Manufacturing Logistics & E-commerce Retail & Loyalty
References Technologies Blog Know-how Tools
About Collaboration Careers
CS EN DE
Let's talk

Hadoop Ecosystem — HDFS, YARN and Modern Alternatives

05. 04. 2025 Updated: 27. 03. 2026 1 min read intermediate

Hadoop Ecosystem — HDFS, YARN and Modern Alternatives

Hadoop launched the big data era. MapReduce has been replaced by Spark, HDFS is being replaced by cloud storage, but the principles endure.

Hadoop — From Revolution to Evolution

HDFS

  • Block storage — 128 MB blocks
  • Replication — 3 copies
  • Data locality — compute near the data

From Hadoop to the Cloud

  • HDFS -> S3/GCS — elastic storage
  • MapReduce -> Spark — 100x faster
  • YARN -> Kubernetes
  • Hive -> Trino — interactive SQL
CREATE EXTERNAL TABLE orders (
    order_id STRING,
    total_czk DECIMAL(12,2)
) STORED AS PARQUET
LOCATION 'hdfs:///data/orders/';

SELECT YEAR(order_date) AS year,
       SUM(total_czk) AS revenue
FROM orders GROUP BY YEAR(order_date);

Summary

Hadoop laid the foundations of big data. Modern architecture replaces its components with cloud services.

hadoophdfsyarnbig data
Share:

CORE SYSTEMS team

We build core systems and AI agents that keep operations running. 15 years of experience with enterprise IT.