Explain the concept of crawler search engine.

Such programs or scripts that systematically or automatically browse the searched content or pages on the web, are called search engine crawlers. Search engine crawlers go by many names including spiders, robots or just bots and these descriptive names sum up what they actually do – crawling through web browsers and index pages for search engines like world wide web. This type of automated browsing serves the purpose of reading the pages. Search engines don’t magically recognize what websites are present on the Internet, the programs have to crawl and index those sites to deliver the right pages mainly for keywords and phrases or simply the words people use to find a useful content or page. Web crawlers act as helpers in browsing the Internet for useful and related pages before storing the page data for future searches. This is the same analogy that applies to how crawlers voyage through link to link on different pages. Search engine crawlers only need a starting link then they can find the next page and next to next link automatically. The world widely recognized and the most famous search engine, Google, also uses web crawlers to read web pages and to store a list of words it finds on the page and also the location where those words are located. Usability data such as speed and HTTP error statuses are also encountered and collected through these crawlers. This data is stored in fundamentally huge databases of web pages which is called search engine’s index. For instance, when you search on Google, you are actually searching from Google’s index and not the actual page, as Google then displays to you the indexed pages relevant to your query and provides a huge list of links to different pages. In short, search engine crawlers act as explorers in the new land.

Q2) How has the utilization of mobile technologies impacted search engine optimization practices?

Mobile technology and mobile apps have hit the market by storm in many ways. It is reported that the top ranked mobile apps have over hundred million downloads making the mobile industry an essential second internet. Instead of searching through browsers and specific search engines, people now prefer searching through their phones which is not only handy but comfortable in its ways. There are hundreds of thousands of mobile applications providing latest and unique features which Google pay store is selling rapidly. Each day, hundreds of apps are released hence this type of traffic cannot be overlooked and this is the reason hoe mobile technologies have reshaped the search engine setting. For example, Google only ranks your website high when it is mobile optimized otherwise Google will not give higher rankings. The main reason is because these days, high volumes traffic is being recognized from mobile users. If your website will not having mobile optimization, it will simply turn off the people using phone from visiting your site ever as it may cause them inconvenience to specially open the desktop just to browse your website. So if your website runs only on desktop, you will never get high rankings. The Google search app available in phones allow users to search for anything they want and there they get a list of  highest searched words at the specific moment which makes millions of users to click on those words that simply multiplies the effect and if your website has already been viral, then  this traffic can be doubled easily. Not only this, mobile phone users check Google app in their phones daily for newsfeed as well as it is the most convenient source. Most interestingly, even if your website has the appealing words that says ‘download’ or ‘apps’ involved in it, even then it will not be the first thing that will always come first, rather the mobile app will be. This makes the competition much higher and makes you compete with the entire mobile app market.

Q3) Describe how mashups create new benefits and functionality from existing data or information.

A new breed of web-based integrative applications is termed as mashups which is sprouting up all across the Internet. Its popularity stems from the prominence on interactive user contribution and participation on the websites while stitching together third-party data. The way it spreads its roots all over the Internet makes it call a mashup drawing upon content which is not based on the source website but retrieved from multiple data sources that lay outside its organizational boundaries.  It is a lightweight web application which is created by first transforming, then merging and ultimately mixing information from different existing data sources to deliver a combined source of information and useful functionality. The combination of unstructured data on Web with structured data that is obtained by secure and customized connectors creates broader insights from legacy applications and databases that turns out to be often compelling. Mashups offer significant business values to the enterprises and many other key advantages as mashups enable swift and quick assembling of applications which not only reduces costs but also decreases the development time to hours from months. Within the past decade, people when introduced with this term mashup, seized on the opportunities emerging in the media-sphere that previously simple media software or hardware technologies used to provide. It became a lot easier to combine clips and snippets of graphics and videos into one, new and diverse content. It also includes the user-defined portals in web content applications that can collectively create personalized and high-value data product for distribution and consumption. Companies are inclined towards developing applications that provides the enterprise space to mashup web based content.  These data mashups are beneficiary for power-users, analysts or business persons who normally used to rely on dashboards and sift through reports with underlying data previously. But now, not only then can reuse the data anytime for unanticipated questions but they can absorbing self-service to a different level by introducing new data with mashup.