Google, the company behind the world's No.1 internet search engine, is said to be planning a server farm in the country. This is the second attempt by the company, after infrastructure-related problems forced it to call off an earlier plan in March this year. They went on to build that farm in Taiwan. The California-based company was in news recently over its plans to set up an SEZ in India. The server farm will envisage an investment running into hundreds of crores of rupees. Though no further details of the project are available from the highly secretive firm, industry sources say that the Indian centre will be the company's second such facility in Asia and seventh globally. Google is so cagey that people are yet to see a picture of Google's data centres anywhere in the world. Server farms hosts websites and also act as a store house for all information available on the internet. https://timesofindia.indiatimes.com/articleshow/1882556.cms
You are absolutely right, Google is a big fish in today's online market. He has almost 70% of total market. He has launched many things but successful as he got success as a search engine just like G+ which was a social network or Google affiliate marketing Project. Anyways, now these are the old days talking. I don't have deep information about the server configuration but this is also the fact that i am using servers since 2012 for my own businesses. First of all, all the advantages discussed above (file system-based approach) should be attributed to the advantages of the approach: The sequence of displaying data on the screen is not guaranteed, since the data is retrieved from the SQLite database, and there they are in "natural" order. To create a sequential display, you need to enter an increment number, or some other mechanism that is not provided, neither CoreData nor SQLite. The data from the server leadconcept(.)com/client-server-application.development.html has nothing to do with network requests, which greatly complicates their debugging. Saving data to the local storage occurs atomically for the entire context. But, between recording calls, data may be lost, or overruns. In addition, the save procedure in the database may not be called. Large amounts of data are retrieved from the Database at a significantly higher speed than reading a flat file, however, for relatively small files, the speed will still be higher. Thanks
