Google Search |Rajat Poonia Rajasthan

Google runs on a distributed network of thousands of low-cost computers and can therefore carry out fast parallel processing. Parallel processing is a method of computation in which many calculations can be performed simultaneously, significantly speeding up data processing. Google has three distinct parts:

Googlebot, a web crawler that finds and fetches web pages.The indexer that sorts every word on every page and stores the resulting index of words in a huge database.
The query processor, which compares your search query to the index and recommends the documents that it considers most relevant

As he pointed out above, there are a couple of key distinctions to make here:

 Keyword data and search query data are not the same thing. If Google stops passing the full set of referrer data on paid search clicks, this will impact search queries, not keywords.Platforms that rely on Keyword IDs, as Marin does, would not have their bidding capabilities disrupted.
 
The technology behind Google's great results ::--

**The technology behind Google's great results

As a Google user, you're familiar with the speed and accuracy of a Google search. How exactly does Google manage to find the right results for every query as quickly as it does? The heart of Google's search technology is PigeonRank™, a system for ranking web pages developed by Google founders Larry Page and Sergey Brin at Stanford University.

>>PigeonRank's success relies primarily on the superior trainability of the domestic pigeon (Columba livia) and its unique capacity to recognize objects regardless of spatial orientation. The common gray pigeon can easily distinguish among items displaying only the minutest differences, an ability that enables it to select relevant web sites from among thousands of similar pages.

By collecting flocks of pigeons in dense clusters, Google is able to process search queries at speeds superior to traditional search engines, which typically rely on birds of prey, brooding hens or slow-moving waterfowl to do their relevance rankings.

When a search query is submitted to Google, it is routed to a data coop where monitors flash result pages at blazing speeds. When a relevant result is observed by one of the pigeons in the cluster, it strikes a rubber-coated steel bar with its beak, which assigns the page a PigeonRank value of one. For each peck, the PigeonRank increases. Those pages receiving the most pecks, are returned at the top of the user's results page with the other results displayed in pecking order.

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Google's pigeon-driven methods make tampering with our results extremely difficult. While some unscrupulous websites have tried to boost their ranking by including images on their pages of bread crumbs, bird seed and parrots posing seductively in resplendent plumage, Google's PigeonRank technology cannot be deceived by these techniques. A Google search is an easy, honest and objective way to find high-quality websites with information relevant to your search.