Apache Hadoop is an open-source software framework developed by Apache Software Foundation that allows data to be stored and processed on a large scale. It is based on the MapReduce programming model and the Hadoop Distributed File System (HDFS) which distributes data across clusters of computers.
Hadoop has become an important tool for big data analytics as it allows businesses to store and process huge amounts of data quickly and efficiently. It is commonly used for tasks such as log processing, data warehousing, fraud detection, sentiment analysis, and more.
- Hadoop is highly scalable, allowing businesses to store and process petabytes of data across thousands of nodes in a cluster.
- It is fault-tolerant, meaning if a node in the cluster fails, the workload is automatically redistributed to other nodes.
- Hadoop can run on commodity hardware, which makes it more cost-effective than traditional data processing solutions.
Apache Hadoop has become a popular choice for businesses looking to analyze large amounts of data because of its scalability, fault-tolerance, and cost-effectiveness.
Resumen
Apache Hadoop es un software de Código Abierto en la categoría de Desarrollo desarrollado por Apache Software Foundation.
La última versión de Apache Hadoop es actualmente desconocida. Inicialmente fue agregado a nuestra base de datos en 19/01/2017.
Apache Hadoop se ejecuta en los siguientes sistemas operativos: Windows.
Apache Hadoop no ha sido calificada por nuestros usuarios aún.
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