According to Domo's 11th annual "Data Never Sleepshttps://www.domo.com/news/press/domo-releases-11th-annual-data-never-sleeps-report?" report, as of 2023, the internet witnesses over 6.3 million Google searches every minute, highlighting the world's continued reliance on search engines. This marks an increase from 5.9 million searches per minute reported in the previous year.

Now, imagine the data generated by our delivery app alone. Every time a rider takes a turn, every rating a customer leaves, every delayed order—all of it generates data. And as we saw earlier, Hadoop helps us manage that growing volume of data. But storing this data isn’t just about having enough space. It’s about keeping it safe, organized, and available even when something fails.

Think of it like trying to store every delivery log, customer comment, GPS ping, and receipt in one giant folder on a single laptop. Not only would it slow to a crawl, but it would also risk data loss. That’s why Hadoop comes with something powerful under the hood: HDFS, or Hadoop Distributed File System.

Let’s unpack how it works and why it’s one of the smartest innovations in Big Data.

HDFS: The warehouse of Big Data

HDFS stands for Hadoop Distributed File System. It's like a giant warehouse made up of many shelves (or computers) working together.

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