Handling huge amount of data has become a great technological leap nowadays, allowing enterprises to analyze of structured and unstructured data.They are datasets that grow so large that they become uncomfortable to work with management tools traditional databases. Difficulties include capture, storage, search, exchange, analysis and visualization.
Due to the benefits of working with sets larger data that allow analysts to "spot business trends, prevent diseases, combat crime" will need new technologies, NoSQL, Hadoop ... that support it.
Big Data uses both heterogeneus and complementary technologies ((Hadoop, NoSQL, Column oriented DB, SQL Databases...) in order to allow these objectives. It also uses power Open Source view tools.
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