No abstract

In order to store these huge bulks of data, organizations have to buy servers and scale it according to their need. One of the solution for storage would be Cloud Environment as there is no need to scale up storage by aggregating more physical servers, installing, updating, or to run backups, which also cuts down system hardware and makes application integration easier. This chapter discusses key concepts of cloud storage as storage as a solution for Big data, different big data domains, and its application with case studies of how organizations are leveraging Big data for better business opportunities.

In order to store these huge bulks of data, organizations have to buy servers and scale it according to their need. One of the solution for storage would be Cloud Environment as there is no need to scale up storage by aggregating more physical servers, installing, updating, or to run backups, which also cuts down system hardware and makes application integration easier. This chapter discusses key concepts of cloud storage as storage as a solution for Bigdata, different big data domains, and its application with case studies of how organizations are leveraging Bigdata for better business opportunities.

Risk optimization using business analytics is gaining momentum in India over the last decade. In order to tap this huge opportunity, most of the startups are getting into the analytics field engaging in financial market survey to provide their customers with valid data. The objective of this study is to help “Sai Builders” in solving their portfolio investment problem as well as sinking funds problem using linear programming and to obtain the total optimum returns by satisfying all constraints. The authors solve the problem of minimizing portfolio risk measures. In addition, the expected return of the portfolio is maximized subject to the aforementioned risk measures. By using numerical experiments, they illustrate the impact of these risk measures on portfolio optimization. The analysis is done by using Excel Solver, and the optimum solution is achieved.

No abstract