Hadoop is an open source Java-based programming framework that supports the processing and storage of extremely large datasets in a distributed computing environment. It is part of the Apache project created by the Apache Software Foundation. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an Original Essay With the growth of the World Wide Web between the late 1910s and 2010s, search engines and indexes were created to help target relevant information across video-based content. In the early years, research results were announced by humans. But as the web grew from tens to millions of pages, automation became necessary. Web crawlers were created, many of which were university-led research projects, and search engine start-ups (Yahoo, AltaVista, etc.) took off. One such project was an open source web search engine called Nutch, the brainchild of Doug Cutting and Mike Cafarella. They wanted to return web search results faster by distributing data and calculations across several computers so they could multitask. During this time another search engine project called Google was underway. It was based on the same concept: storing and processing data in a distributed and automated way so that relevant web search results could be returned faster. In 2006, Cutting joined Yahoo and brought with him the Nutch project and ideas based on Google's early designs. work with the automation of distributed data storage and processing. The Nutch project was split: the web crawler part remained as Nutch, and the distributed computing and processing part became Hadoop (named after Cutting's son's toy elephant). In 2008, Yahoo released Hadoop as an open source project. Today, the Hadoop framework and technology ecosystem are managed and maintained by the nonprofit Apache Software Foundation (ASF), a global community of software developers and contributors. Big data in healthcare is used to reduce overall costs, cure diseases, improve profits, predict epidemics, and improve the quality of human life by preventing deaths. Scientific research labs, hospitals and other medical institutions are leveraging big data analytics to reduce healthcare costs by changing treatment delivery models. The journey through big data in healthcare begins here, highlighting the most widely used applications of big data in healthcare. Please note: this is just an example. Get a custom paper from our expert writers now. Get a Custom Essay The volume of data in the enterprise is increasing 50 times year over year between now and 2020. The volume of enterprise data worldwide, across all enterprises, is doubling every 1.2 years. In 2010, Eric Schmidt stated that every 2 days we create as much information as we have created from the dawn of civilization until today. 2003.