Description
INTRODUCTION
Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data duration, search, sharing, storage, transfer, visualization, and information privacy. The term often refers simply to the use of predictive analytics or other certain advanced methods to extract value from data, and seldom to a particular size of data set. Accuracy in big data may lead to more confident decision making. And better decisions can mean greater operational efficiency, cost reductions and reduced risk.
Big Data Seminar Report
Page Length : 26
Content :
- Introduction
- Definition
- Characteristics
- Architecture
- Technologies
- Applications
- Conclusion
- Reference
Big Data Presentation Report (PPT)
Page Length : 31
Content :
- Introduction
- What is Big Data
- Characteristic of Big Data
- Storing, selecting and processing of Big Data
- Why Big Data
- How it is Different
- Big Data sources
- Tools used in Big Data
- Application of Big Data
- Risks of Big Data
- Benefits of Big Data
- How Big Data Impact on IT
- Future of Big Data
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