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Big Data and Search Engines

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2016-03-26 07:28:15
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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: 

About the book author:

Alan Anderson, PhD is a teacher of finance, economics, statistics, and math at Fordham and Fairfield universities as well as at Manhattanville and Purchase colleges. Outside of the academic environment he has many years of experience working as an economist, risk manager, and fixed income analyst. Alan received his PhD in economics from Fordham University, and an M.S. in financial engineering from Polytechnic University.

David Semmelroth has two decades of experience translating customer data into actionable insights across the financial services, travel, and entertainment industries. David has consulted for Cedar Fair, Wachovia, National City, and TD Bank.