Hadoop platforms
With the advent of search engines, social networks, and online marketplaces, data volumes grew exponentially. Searching and processing such data volumes needed a different approach to meet the service-level agreements (SLAs) and customer expectations. Both Google and Nutch used a new technology paradigm to solve this problem, thus storing and processing data in a distributed way automatically. As a result of this approach, Hadoop was born in 2008 and has proved to be a lifesaver for storing and processing huge volumes (in the order of terabytes or more) of data efficiently and quickly.
Apache Hadoop is an open source framework that enables distributed storage and processing of large datasets across a cluster of computers. It is designed to scale from a single server to thousands of machines easily. It provides high availability by having strong node failover and recovery features, which enables a Hadoop cluster to run on cheap commodity hardware.
