| 期刊全稱 | Big Data Analytics | | 期刊簡(jiǎn)稱 | Theory, Techniques, | | 影響因子2023 | ümit Demirbaga,Gagangeet Singh Aujla,O?uzhan Kalyo | | 視頻video | http://file.papertrans.cn/186/185586/185586.mp4 | | 發(fā)行地址 | Explains how to handle big data clearly and comprehensibly and indicates the best tools for big data analysis.Describes big data systems themselves and discusses how to monitor and debug big data syst | | 圖書封面 |  | | 影響因子 | .This book introduces readers to big data analytics. It covers the background to and the concepts of big data, big data analytics, and cloud computing, along with the process of setting up, configuring, and getting familiar with the big data analytics working environments in the first two chapters. The third chapter provides comprehensive information on big data processing systems - from installing these systems to implementing real-world data applications, along with the necessary codes. The next chapter dives into the details of big data storage technologies, including their types, essentiality, durability, and availability, and reveals their differences in their properties. The fifth and sixth chapters guide the reader through understanding, configuring, and performing the monitoring and debugging of big data systems and present the available commercial and open-source tools for this purpose. Chapter seven gives information about a trending machine learning, Bayesian network: a probabilistic graphical model, by presenting a real-world probabilistic application to understand causal, complex, and hidden relationships for diagnosis and forecasting in a scalable manner for big data. | | Pindex | Book 2024 |
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