Anos: Os datos son considerados como,,en,cando deixar de control-lo de forma eficaz,,en,Pero a capacidade de procesar o enorme volume de datos con rapidez e eficiencia non reduciuse en paralelo,,en,ferramentas tradicionais non son capaces de analizar e almacenar datos de forma eficaz e precisa,,en,Aquí Apache Hadoop vén en imaxe para xestionar BIG DATA .El fai a minería de datos,,en,e procesamento barato,,en,rápido e eficaz,,en,Hadoop pode tomar a maioría dos seus problemas de Big data resolver os problemas,,en,Apache Hadoop é barato e un open-source Apache project.Anybody é libre para usalo,,en,Hadoop é executado en hardware commodity,,en,ordenadores normais diarias,,en,así que non ten que mercar máquinas de bases de datos especializados millóns de dólares,,en Datos grandes when you fail to manage it efficiently. Now a days storage is become cheap and it will be cheaper in future, which means it has become easy to collect mountains of data. But the ability to actually process the huge volume of data quickly and efficiently has not scaled up in parallel. Traditional tools are not capable to analyse and store data efficiently and accurately. Here Apache Hadoop comes into picture to handle BIG DATA .It makes data mining, analytics, and processing cheap,fast and efficient. Hadoop can take most of your big data problems solve the issues. Apache Hadoop is cheap and an open-source Apache project.Anybody is free to use it. Hadoop runs on commodity hardware (i. normal everyday computers), so you don’t have to buy million-dollar specialized database machines.
