Hector Sanchez

A bit of personal context A few days ago, I published posts about how to install Hadoop 3.3.6 natively on Ubuntu. At that time, I thought it was the state of the art. But things in the Big Data world move fast. Fast foward a few days, and when I...

In Part 1 of this series, I installed Hadoop 3.3.6 natively on Ubuntu 24.04 and configured HDFS in pseudo-distributed mode. In Part 2, I configured YARN and ran the canonical WordCount job on War and Peace. In Part 3, I improved the text processing pipeline by normalizing words before counting them. The natural next...

Introduction In Part 1 of this series, we installed Hadoop 3.3.6 natively on Ubuntu and configured HDFS for distributed storage. In Part 2, we configured YARN, wrote our first MapReduce program (WordCount), and executed it against the full text of War and Peace. However, Part 2’s analysis revealed a subtle but significant problem: words were...

In Part 1 of this series we installed Hadoop 3.3.6 natively on Ubuntu 24.04 and got HDFS running in pseudo-distributed mode. That gave us a working distributed file system, but Hadoop is much more than storage — its true power lies in processing large datasets in parallel using the MapReduce programming model. In this...

When I started working with Hadoop in a learning environment, the course guide indicated using Linux Mint in a virtual machine. However, I already had Ubuntu 24.04 installed natively on my Dell Vostro with 32 GB of RAM, and it seemed smarter to leverage it directly. In this post I...