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Hadoop is an open-source software environment of The Apache Software Foundation that allows applications petabytes of unstructured data in a cloud environment on commodity hardware can handle. Because the system is based on Google's MapReduce and Google File System (GFS), large data sets into smaller data blocks are divided so that a cluster parallel processing.

Hadoop is released as source code tarballs with corresponding binary tarballs for convenience. The downloads are distributed via mirror sites and should be checked for tampering using GPG or SHA-512. Apache Kafka: A Distributed Streaming Platform. 3.0.0 is the latest release. The current stable version is 3.0.0.

Hadoop works with a distributed file system (HDFS) what makes that data on multiple nodes and aggregated with a high bandwidth a cluster can be treated.

Given the fact that Hadoop is relatively new for many organizations, it is important to see how these 'early adopters' use of Hadoop. Despite the fact that Hadoop is in its early stages, and that there are constant projects to be started that the range of uses of Hadoop expand, we still see all new patterns arise. Let these real-life situations to look at from both a technical and a business perspective.

Hadoop screenshots

You can free download Hadoop and safe install the latest trial or new full version for Windows 10 (x32, 64 bit, 86) from the official site.

Devices: Desktop PC, Laptop (ASUS, HP, DELL, Acer, Lenovo, MSI), Ultrabook

Download Hadoop For Mac Pro

OS: Professional, Enterprise, Education, Home Edition, versions: 1507, 1511, 1607, 1703, 1709, 1803, 1809