By Michael S. Gendron
The way to degree cloud computing concepts and merits to affect enterprise intelligence infrastructure. This ebook is a advisor for managers and others occupied with utilizing cloud computing to create enterprise worth. It starts off with a dialogue of the media hype round cloud computing and try to pull jointly what specialists are announcing that allows you to create a unified definition. as soon as this beginning is created—assisting the reader's realizing of what cloud computing is—the dialogue strikes to getting company advantages from cloud computing. finally, the dialogue specializes in examples of cloud computing, public clouds, deepest clouds, and virtualization. The booklet emphasizes how those applied sciences can be utilized to create enterprise price and the way they are often built-in into an organisations company intelligence procedure. It is helping the person make a company case for cloud computing applications—applications which are used to gather/create facts, which in flip are used to generate company intelligence.
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Additional resources for Business Intelligence and the Cloud: Strategic Implementation Guide
In addition, the growth of social and mobile technology adoption is adding information overload and creating a need for more IT and IS resources to run enterprises and build business intelligence. This book introduces the strategy-oriented concepts and tools required to create cloud-based infrastructure that fulﬁlls the ICT value proposition and builds business intelligence. A HISTORY OF HOW WE GOT TO CLOUD COMPUTING ◂ 21 NOTES 1. M. Wright, “The Planar IC: Revolution Underestimated,” Edn 51, no.
At the start of this chapter, a case was made that cloud computing is a new way to deliver IT and IS, and to do business; it is not just a technical orientation. Moving applications to a cloud rather than having them deployed on bare metal servers takes a decided approach that is fundamentally different and can require a change in an organization’s strategic orientation. This is especially true when an organization decides to move from delivering all information systems from its in-house technologies and staff to an external cloud vendor.
7 Three computing platforms have signiﬁcantly contributed to moving us toward cloud computing: (1) clustering and grid computing, (2) service-oriented architecture, and (3) virtualization. Clustering and Grid Computing For a long time, humanity has understood the advantage of clustering. An example of this is the way we process language and how that is used in natural language processing (NLP) by computers to make interactions between humans and machines more humanlike. NLP—a ﬁeld of computer science, artiﬁcial intelligence, and linguistics—refers to software that allows a computer to interact with another computer using spoken human language.
Business Intelligence and the Cloud: Strategic Implementation Guide by Michael S. Gendron