Titlebook: Big Data Management; Fausto Pedro García Márquez,Benjamin Lev Book 2017 Springer International Publishing AG 2017 Big Data.Business Analyt

組成

Big Data and Earned Value Management in Airspace Industry,r monitoring projects. These parameters are compared with planned value to analyze the project status. EVM covers scope, cost and time, and unifies them in a common framework that allows evaluation of project health. This chapter aims to integrate the project management and the Big Data. It is propo

PATRI

Book 2017s economics, finance, marketing and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples..

GEON

Introduction to Classical Geometriescation that uses Big Data techniques to analyze those log files in order to track information on the device (date, time, MAC address, and georeferenced position), as well as the number and type of network accesses for each building. In a near future, this application will help the IT Department to analyze all these logs in real time.

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蔓藤圖飾

https://doi.org/10.1007/978-3-7643-7518-8em in a common framework that allows evaluation of project health. This chapter aims to integrate the project management and the Big Data. It is proposed an EVM approach, developed from a real case study in aerospace industry, to manage simultaneously a large number of projects.

dura-mater

Big Data and Earned Value Management in Airspace Industry,em in a common framework that allows evaluation of project health. This chapter aims to integrate the project management and the Big Data. It is proposed an EVM approach, developed from a real case study in aerospace industry, to manage simultaneously a large number of projects.

折磨

Introduction to Chinese Culturetation of our reference architecture is demonstrated for three leading cloud providers. Given these implementations, we analyze main pricing schemes and cost factors to compare respective cloud services based on a big data streaming use case. Derived findings are essential for cloud-based big data management from a cost perspective.

CEDE

https://doi.org/10.1007/978-3-662-03927-4tion. An iterative three-step study approach based on traffic control and traffic management considerations was undertaken to identify the best strategies in evacuation corridor selection, traffic management method, and evacuation demand staging to relieve heavy traffic congestions for such an evacuation.

洞穴

Managing Cloud-Based Big Data Platforms: A Reference Architecture and Cost Perspective,tation of our reference architecture is demonstrated for three leading cloud providers. Given these implementations, we analyze main pricing schemes and cost factors to compare respective cloud services based on a big data streaming use case. Derived findings are essential for cloud-based big data management from a cost perspective.

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