An Apache Hadoop is open-source tools for storage and process. The amount of data is stored in digital data format. That has accumulated with the rise of the World Wide Web. Then project called Nutch. To find a better way to attempt open source Web way. The Google influence by Nutch's creators two key papers. Nutch is storage and process of work split into the Hadoop project. Nutch maintains by continuing to web crawling project. In this article consider data systems and Set apart needs of big data systems. Then look at Hadoop has evolved to address those needs.

Data Systems 

Data exists all over the place: on scraps of paper, in books, photos, multimedia files, server logs, and on websites. When that data collected, it enters a data system. Imagine a school project where students measure the water level of a nearby creek each day. They record their measurements in the field on a clipboard, return to their classroom. The enter data in a spreadsheet. When they've enough amounts, they begin to analyze it. They might compare the same months from different years. Sort from the highest to lowest water level. They might build graphs to look for trends.

This school project illustrates a data system:

•   Information exists in different locations (the field notebooks of different students)
• to collect into a system (hand-entered into a spreadsheet)
• It stores saved to disk on the classroom computer. field notebooks might copy or retained to verify the integrity of the data
• The analyzed aggregated, sorted, or otherwise manipulate
• Processed data displayed (tables, charts, graphs) This project is on the small end of the spectrum. A single computer can store, analyze, and display the daily water level measurements. Toward the other end of the spectrum, all the content on the entire web pages in the world from a much larger dataset. At its most basic this is big data: so much information that it can't fit on a single computer.Search engine companies were facing this specific problem as web content explodes. In 2003, Google released its influential paper, The Google File System. It describing their software handled storage of the massive amount of data. It process for their search engine. They followed in 2004 Google's Map Reduce. It is Simplify Data Process on Large Clusters. They simplified processing such large amounts of data. These two papers influenced the architecture of Hadoop.

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