By Marozzo, Fabrizio; Talia, Domenico; Trunfio, Paolo
Data research within the Cloud introduces and discusses types, equipment, ideas, and structures to investigate the massive variety of electronic facts assets to be had on the web utilizing the computing and garage amenities of the cloud.
Coverage contains scalable info mining and data discovery suggestions including cloud computing recommendations, types, and platforms. particular sections concentrate on map-reduce and NoSQL types. The publication additionally contains innovations for engaging in high-performance allotted research of huge info on clouds. ultimately, the publication examines learn traits equivalent to massive info pervasive computing, data-intensive exascale computing, and big social community analysis.
- Introduces facts research thoughts and cloud computing concepts
- Describes cloud-based types and platforms for giant information analytics
- Provides examples of the state of the art in cloud info analysis
- Explains how one can enhance large-scale facts mining functions on clouds
- Outlines the most learn tendencies within the region of scalable mammoth information analysis
Read or Download Data Analysis in the Cloud : Models, Techniques and Applications PDF
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Extra resources for Data Analysis in the Cloud : Models, Techniques and Applications
At a practical level, a workflow can be implemented as a computer program, can be expressed in a programming language or paradigm that allows expressing the basic workflow steps, and includes mechanisms to orchestrate them. Workflows have emerged as an effective paradigm to address the complexity of scientific and business applications. The wide availability of high-performance computing systems, grids and clouds, allowed scientists and engineers to implement more complex applications to access and process large data repositories and run scientific experiments in silico on distributed computing platforms.
Specifically, software and associated data are hosted by providers, and customers access them without need to use any additional hardware or software. Moreover, customers normally pay a monthly/yearly fee, with no additional purchase of infrastructure or software licenses. , Gmail), calendars (Yahoo Calendar), document management (Microsoft Office 365), image manipulation (Photoshop Express), customer relationship management (Salesforce), and others. In Platform as a Service model, cloud vendors deliver a computing platform typically including databases, application servers, development environment for building, testing, and running custom applications.
It is also necessary and helpful to work with data analysis environments allowing the effective and efficient access, management and mining of such repositories. For example, a scientist can use a data analysis environment to run complex data mining algorithms, validate models, and compare and share results with colleagues located worldwide. In the past few years, clouds have emerged as effective computing platforms to face the challenge of extracting knowledge from big data repositories, as well as to provide effective and efficient data analysis environments to both researchers and companies.
Data Analysis in the Cloud : Models, Techniques and Applications by Marozzo, Fabrizio; Talia, Domenico; Trunfio, Paolo