Real-time Data Feeds Although it doesn’t promote itself as such, is actually a collection of data and a set of tools for working with it. It has progressed from an index of web pages to a central hub for real-time data feeds on just about anything that can be measured such as weather reports, travel reports, stock market and shares, shopping suggestions, travel suggestions, and several other things. Sorting Tools Big Data analysis which implies utilizing tools intended to deal with and comprehend this massive data becomes an integral factor whenever users carry out a search query. The Google’s algorithms run complex calculations intended to match the questions that user entered with all the available data. It will try to determine whether the user is searching for news, people, facts or statistics, and retrieve the data from the appropriate feed. Pages Google Knowledge Graph is a tool or database which collects all the data and facts about people, places and things along with proper differentiation and relationship between them. It is then later used by Google in solving our queries with useful answers. Google knowledge graph is user-centric and it provides them with useful relevant information quickly and easily. Literal & Semantic search The main aim of the literal search engine is to find the root of your search phrase by looking for a match for some of the word or entire phrase. The root of the phrase is then examined and explored upon to display better search results. While semantic search engine tries to understand the context of the phrase by analyzing the terms and language in knowledge graph database to directly answer a question with specific information. Tracking Cookies Google can keep a track on users across the web by using cookies. If a user is logged or signed into Google and the user is simultaneously browsing other websites, Google can track the websites they are visiting. Google tracks its users across the web by tracking cookies. Thus, Google can collect several data related to users such as their preference, inclination, favorites, requirements etc. Whenever a user searches anything on Google, it incorporates all that information before displaying the results in proper rank. Google+ The moment you sign in into your , it uses your search history, trends and location to provide accurate search results. Google collects all the data related to the frequency of sites visited, search phrases used, the timings, data downloaded etc. Google then uses those data to streamline the search results depending upon different scenarios. Synonyms The phrases are understood through a system that analyzes their root and relationship based on past search history, trends and relationship to each other. For complex operations such as translation, Google summons other inbuilt algorithms that are themselves based on Big Data. Google’s translate service analyses millions of other pieces of translated text or speech, to determine the most precise interpretation. Google Adwords Businesses ranging from small scale to large scale are regularly making use of Big Data analytics whenever they advertise through Google Adwords service. Whenever user surfs through different websites, it learns their preferences, likes, dislikes, inclinations etc. on the basis of which Google shows them several advertisements related to products or services that user might be interested in. Advertisers gain admittance to Big Data analytics when they utilize Google Adwords and other services such as to lure individuals who fit their customer profile to their sites and stores. Ranking and Prioritizing the Search Results There are numerous different factors that go into the rankings of your search results. Google examines the following features of a website’s content when defining relevance including: Site structure relations Page structure relations External link relevance

Summarized by © lakhasly.com Internal link relevance Conclusion It won’t be wrong to state that Google knows everything about us and all credit goes to Big Data analytics. In fact, Google has mastered the domain of big data analytics and it has developed several tools and techniques to capture the data of users which includes their preference, their likes, dislikes, the area of specialization, their requirement etc. Google not only gather those vital data, but it also processes it quickly and efficiently to deliver us the required search result for any particular query.

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