Apache Hadoop is an open-source framework used for the storage and processing of large volumes of data in distributed form. For this it uses what is known as commodity hardware, that is, a set of generic computers. Due to its characteristics, Hadoop is widely used in Big Data, since it allows working with large volumes of information at a very low cost.
In this post, we will discuss the main components of the framework, and we will install Hadoop on a virtual computer in pseudo-distributed mode. These will allow us, in the next post, to start using it and learn without needing to be in a real production environment. In case you wish to go deeper into Hadoop, I invite you to visit the Getting Started section of the project.
On the Hadoop website, we can find a large list of companies that use Hadoop to manage their file system. Multinationals such as Adobe, eBay, Amazon, Facebook or Google work with Hadoop when it comes to moving large amounts of data and searching. Yahoo! It is the company that currently has more dependence on the tool.
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