| Summary: | 碩士 === 龍華科技大學 === 資訊管理系碩士班 === 106 === With the development of Internet technology and the innovation of the Internet of Things, businesses have accumulated huge amounts of data onto different types. Traditional data processing techniques are insufficient to handle such increasingly diverse data. Confronting the huge amounts of data and creating high added value in business activities from whom are the new challenges to many companies in recent years. Compared with foreign countries, there were fewer researches of teaching cases and academic studies about the big data analysis platform in Taiwan. This thesis has made some efforts in the research of big data analysis platform.
Hadoop, being started as a subproject by the Apache Foundation in 2005, has opened the door for big data techniques research. Among the various branches of commercial distributions, the release that is known to operate in a business model and provides high compatibility and stability is Cloudera. Based on Cloudera, this study explores the Hadoop techniques and the corresponding virtualization and backup strategies, and is divided into two parts in the applications.
In the first part of the application, this study explores the construction of an open virtualized format (.OVF) for teaching and personal use. In the second part of the application, taking the Lunghwa University of Science and Technology as a study case to explore the strategy of building a powerful backup cluster using VMware ESXI and MKSBackup with limited resources.
This study can serve as a reference site for most SMEs, SOHO groups or colleges with scarce resources. The research results make the self-established big data platform easy to implement and elevate the technical level of big data analysis platform.
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