{"appState":{"pageLoadApiCallsStatus":true},"articleState":{"article":{"headers":{"creationTime":"2016-03-26T07:28:15+00:00","modifiedTime":"2016-03-26T07:28:15+00:00","timestamp":"2022-09-14T17:49:54+00:00"},"data":{"breadcrumbs":[{"name":"Technology","_links":{"self":"https://dummies-api.dummies.com/v2/categories/33512"},"slug":"technology","categoryId":33512},{"name":"Information Technology","_links":{"self":"https://dummies-api.dummies.com/v2/categories/33572"},"slug":"information-technology","categoryId":33572},{"name":"Data Science","_links":{"self":"https://dummies-api.dummies.com/v2/categories/33577"},"slug":"data-science","categoryId":33577},{"name":"Big Data","_links":{"self":"https://dummies-api.dummies.com/v2/categories/33578"},"slug":"big-data","categoryId":33578}],"title":"Big Data and Search Engines","strippedTitle":"big data and search engines","slug":"big-data-and-search-engines","canonicalUrl":"","seo":{"metaDescription":"Big data has made possible the development of highly capable online search engines. 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The amount of data that Google handles each day is estimated to be about 20 petabytes (2.0 x 10<sup>16</sup> bytes). All this traffic is profitable for Google — the bulk of its revenues come from advertising.</p>\n<p>Google also provides computer services to organizations that don't have their own capabilities for processing big data. Google recently introduced Google Cloud Dataflow, which allows organizations to store, analyze, and process huge quantities of data.</p>","description":"<p>Big data has made possible the development of highly capable online search engines. A search engine finding web pages based on search terms requires sophisticated algorithms and the ability to process a staggering number of requests. 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Big Data and Search Engines

By: Alan Anderson and David Semmelroth and

Updated: 03-26-2016

From The Book: Statistics for Big Data For Dummies

Statistics for Big Data For Dummies

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Big data has made possible the development of highly capable online search engines. A search engine finding web pages based on search terms requires sophisticated algorithms and the ability to process a staggering number of requests. Here are four of the most widely used search engines:

Google
Microsoft Bing
Yahoo!
Ask

The use of Google dwarfs its competitors. As of February 2015, Google is estimated to receive 1.1 billion unique visitors each month. Bing is a distant second with 350 million; Yahoo! gets 300 million, and Ask, 245 million. Although Google isn't the oldest search engine, it has become by far the most popular. The amount of data that Google handles each day is estimated to be about 20 petabytes (2.0 x 10¹⁶ bytes). All this traffic is profitable for Google — the bulk of its revenues come from advertising.

Google also provides computer services to organizations that don't have their own capabilities for processing big data. Google recently introduced Google Cloud Dataflow, which allows organizations to store, analyze, and process huge quantities of data.

About This Article

This article is from the book:

Statistics for Big Data For Dummies ,

About the book authors:

Alan Anderson, PhD, is a professor of economics and finance at Fordham University and New York University. He's a veteran economist, risk manager, and fixed income analyst.

David Semmelroth is an experienced data analyst, trainer, and statistics instructor who consults on customer databases and database marketing.

This article can be found in the category:

Big Data ,