The act of processing large volumes of data has always been an obstacle in computing. The emergence of the paradigm of parallel computing combined with the idea of distributing the computation across multiple computers ...

Nowadays the volume of data generated by the services provided for end users, is way larger than the processing capacity of one computer alone. As a solution to this problem, some tasks can be parallelized. The Apache ...

Many alternatives have been employed in order to process all the data generated by current applications in a timely manner. One of these alternatives, the Apache Hadoop, combines parallel and distributed processing with ...

El siguiente documento consta de una problemática con referencia a la evolución del software de la app y de los programas web que tiene un amplio flujo de datos estos estaban presentando retrasos a la hora de lectura perdida ...

The data growth enhances the need of a method and paradigms responsible to deal with high scalability, reliability and fault tolerance in large amounts of data. Big Data is a framework capable of dealing with this need. ...

The data growth enhances the need of a method and paradigms responsible to deal with high scalability, reliability and fault tolerance in large amounts of data. Big Data is a framework capable of dealing with this need. ...

For a long time, data has been treated as a general problem because it just represents fractions of an event without any relevant purpose. However, the last decade has been just about information and how to get it. Seeking ...