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Big Data is Not just Hadoop
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  • Big Data is Not just Hadoop
저자명
Ronnie D. Caytiles
간행물명
예술인문사회융합멀티미디어논문지
권/호정보
2012년|2권 1호(통권3호)|pp.11-16 (6 pages)
발행정보
인문사회과학기술융합학회|한국
파일정보
정기간행물|ENG|
PDF텍스트(0.17MB)
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영문초록

When we started discussing this topic with our customers, and we had obtained very interesting feedbacks. First of all, they all think that this is just a buzzword that all the people are talking about and nobody has already seen someone who is doing something reasonable. Then they had a feeling that big data and hadoop are synonyms and moreover that hadoop is something that is dedicated just to the processing of unstructured data – mainly text data [1][2] In this paper, we will show you that this is not the truth – at least from IBM’s point of view. Another reason that big data is a hot topic in the market today is the new technology that enables an organization to take advantage of the natural resource of big data. Big data itself isn’t new it’s been here for a while and growing exponentially. What’s new is the technology to process and analyze it. The purpose of big data technology is to cost effectively manage and analyze all of the available data. Any data, as is. If you want to analyze structured data, then structure it. If you want to analyze an acoustic file, then analyze the acoustic file with appropriate analytics.

목차

1. Introduction
2. Related Work
3. Performance Evaluation
4. Concluding Remarks
References

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