Big Data Analytics Theory, Techniques, Platforms, and Applications /

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. T...

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書目詳細資料
Main Authors:	Demirbaga, Ümit (Author), Aujla, Gagangeet Singh (Author), Jindal, Anish (Author), Kalyon, Oğuzhan (Author)
企業作者:	SpringerLink (Online service)
格式:	電子電子書
語言:	英语
出版:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
版:	1st ed. 2024.
主題:	Big data. Quantitative research. Electric power distribution. Medical care. Machine learning. Big Data. Data Analysis and Big Data. Energy Grids and Networks. Health Care. Machine Learning.
在線閱讀:	https://doi.org/10.1007/978-3-031-55639-5
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

書本目錄:

Introduction
Big Data
Big Data Analytics
Cloud Computing for Big Data Analytics
Big Data Analytics Platforms
Big Data Storage Solutions
Big Data Monitoring
Debugging Big Data Systems for Big Data Analytics
Machine Learning for Big Data Analytics
Real-World Big Data Analytics Case Studies
Big Data Analytics in Smart Grids
Big Data Analytics in Bioinformatics.

Big Data Analytics Theory, Techniques, Platforms, and Applications /

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