![million song dataset hadoop million song dataset hadoop](https://lukemerrett.github.io/Presentations/images/million_song_model.png)
“ Google is living a few years in the future and sending the rest of us messages.” Doug quoted on Google’s contribution to the development of Hadoop framework: Finally, these two papers led to the foundation of the framework called “ Hadoop“. Later in 2004, Google published one more paper that introduced MapReduce to the world. Now, this paper on GFS proved to be something that they were looking for, and soon, they realized that it would solve all their problems of storing very large files that are generated as a part of the web crawl and indexing process. They came across a paper, published in 2003, that described the architecture of Google’s distributed file system, called GFS, which was being used in production at Google. However, they soon realized that their architecture will not be capable enough to work around with billions of pages on the web. After their research, they estimated that such a system will cost around half a million dollars in hardware, with a monthly running cost of $30,000, which is quite expensive. So, it all started with two people, Mike Cafarella and Doug Cutting, who were in the process of building a search engine system that can index 1 billion pages. Big Data and Hadoop: Restaurant Analogyīefore getting into technicalities in this Hadoop tutorial article, let me begin with an interesting story on How Hadoop came into existence? and Why is it so popular in the industry nowadays?.
![million song dataset hadoop million song dataset hadoop](https://cgallay.github.io/Ada/images/genre_distr.png)
In this Hadoop tutorial article, we will be covering the following topics: This Edureka “Hadoop tutorial For Beginners” will help you to understand the problem with traditional system while processing Big Data and how Hadoop solves it.