How to install Hadoop on Linux Operating System: Part 1 (Alt 1).
Hadoop is an open-source core component of big data analytics ecosystem. It encompasses HDFS storage system for big data storage and MapReduce for data processing. Big data industry has been relying on Hadoop for processing large-scale and massive amounts of big data with scalability and resilience for more than a decade with distributed deep learning on Apache Spark and CaffeonSpark. Hadoop has fault-tolerant system, which is essential to avoid points of failures on a distributed system. Apache Mahout library can be leveraged for machine learning implementation.
The above diagram displays the history of Hadoop over a timeline. In the year of 2003, Google released MapReduce as Nutch project that lead to the commercial birth of Hadoop in 2006. The evolution of Hadoop continued throughout the last decade from GFS+ (Google File System concept) that was the basis for HDFS (Hadoop File System) in the later years. In the year of 2007, Yahoo Inc. started running a 1000-node Hadoop cluster.
· Hadoop has been widely accepted by the big data industry as it runs on low-commodity servers without requiring high-performance computing servers and processors. Spinning up and spinning down nodes on Hadoop ecosystem has proved to be a flexible and easier factor for organizations running big data ecosystem.