Understanding big data and its difficulties is necessary to appreciate the Hadoop ecosystem. Businesses generate and receive massive volumes of organized, semi-structured, and random data daily.
This data comes from many sources that we use everyday (social media, cameras, smart gadgets, etc.).
Big data's scale, speed, and diversity create issues. Traditional data handling approaches struggle to keep up with data volume, pace, and shape. Hadoop handles massive volumes of data fast and flexibly.
Hadoop lets firms store and manage data across several machines. This is distributed computing. With simultaneous processing, data may be analyzed quicker and better.