Data Warehousing a Preliminary Survey on Google |
Author(s): |
| Ankita Singh , Lokmanya Tilak College of Engineering Kopar Khairane,Mumbai; Prof. Sudhakar Jadhav, Lokmanya Tilak College of Engineering |
Keywords: |
| Data Warehouse, Business Intelligence, Mesa, Big Query |
Abstract |
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Google, have one of the most powerful server networks in the known Universe. In terms of Google, space and computational capacity of databases. Going with the Numbers - 91 million searches per day - Accounts for 50% of all internet searches - Virtual profiles of increasing number of users To access and store this huge data, Data warehouse architectures have been experiencing a rather dramatic evolution in recent years, and they will keep evolving into the foreseeable future. Scalable analysis on large data sets has been core to the functions of a number of teams at Google. Apart from ad hoc analysis of data and the creation of business intelligence dashboards by analysts across the company, a number of Google’s site features are also based on analyzing huge data sets, which range from simple reporting applications like Insights for the Google Advertisers, to more advanced kinds. So in this paper, we will study what data warehousing is and how it is shaping the Machine Learning, Business Intelligence, and Smart Advertising etc. Google is one of the most advanced company with advanced computational compatibility. |
Other Details |
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Paper ID: IJSRDV3I41069 Published in: Volume : 3, Issue : 4 Publication Date: 01/07/2015 Page(s): 2010-2013 |
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