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.
概述
Apache Hadoop 是在由Apache Software Foundation開發類別 Development Open Source 軟體。
最新版本是 Apache Hadoop 的目前未知。 它最初被添加到我們的資料庫 2017/01/19 上。
Apache Hadoop 在下列作業系統上運行: Windows。
Apache Hadoop 已不被評為由我們使用者尚未。
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