5 posts tagged with "HDFS"

Apache Hadoop 3.x was a landmark release that brought significant improvements to performance, reliability, and scalability. Here's a quick tour of the most important changes.

As organizations move workloads to the cloud, one of the most common questions is: should I use HDFS or Amazon S3 as my Hadoop storage layer? Both are valid choices, but they have very different performance profiles and operational characteristics.

Hadoop 3.x introduced erasure coding, YARN Timeline Service v2, multiple NameNode support, and significant performance improvements. If you're still running Hadoop 2.x, this guide walks through a safe, rolling upgrade path — without losing data or taking extended downtime.

The s3a:// filesystem connector in Hadoop lets you use Amazon S3 as a drop-in replacement for HDFS storage. It's the foundation for cost-effective data lake architectures where compute and storage are decoupled. This guide covers configuration, performance tuning, and production best practices.

An unsecured Hadoop cluster is a ticking time bomb. Without authentication, any user on the network can read, write, or delete HDFS data. This guide covers the essential security layers for HDFS DataNodes: Kerberos authentication, data transfer encryption, block access tokens, and OS-level hardening.