Hadoop is a free Java framework for distributed applications and intensive data management. It enables applications to work with thousands of nodes and petabytes of data
With Hadoop, companies discover and put into practice new techniques for analysis and retrieval of data, techniques previously impossible to implement for reasons of performance, cost and technology. As a result, Hadoop is an option that is gaining popularity to treat, store and analyze large volumes of raw data, semi-structured or unstructured data from the most disparate data sources.
More than one billion users of Facebook generated about 2,500 million updates, about 300 million images and links. This makes the social network to process more than 500 terabytes of content daily.
Hadoop is used in three different ways: as a data warehouse for web analytics, to store distributed database, and finally for backups of these MySQL database servers.
In addition, Hadoop is used for thousands of simultaneous requests, mining operations, social analysis, and management of resources.
The main strength Hadoop lies in its scalability.
With Hadoop, companies discover and put into practice new techniques for analysis and retrieval of data, techniques previously impossible to implement for reasons of performance, cost and technology. As a result, Hadoop is an option that is gaining popularity to treat, store and analyze large volumes of raw data, semi-structured or unstructured data from the most disparate data sources.
More than one billion users of Facebook generated about 2,500 million updates, about 300 million images and links. This makes the social network to process more than 500 terabytes of content daily.
Hadoop is used in three different ways: as a data warehouse for web analytics, to store distributed database, and finally for backups of these MySQL database servers.
In addition, Hadoop is used for thousands of simultaneous requests, mining operations, social analysis, and management of resources.
The main strength Hadoop lies in its scalability.
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