ODDS
发表于 2025-3-21 18:18:24
书目名称High-Performance Big-Data Analytics影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0426641<br><br> <br><br>书目名称High-Performance Big-Data Analytics影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0426641<br><br> <br><br>书目名称High-Performance Big-Data Analytics网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0426641<br><br> <br><br>书目名称High-Performance Big-Data Analytics网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0426641<br><br> <br><br>书目名称High-Performance Big-Data Analytics被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0426641<br><br> <br><br>书目名称High-Performance Big-Data Analytics被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0426641<br><br> <br><br>书目名称High-Performance Big-Data Analytics年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0426641<br><br> <br><br>书目名称High-Performance Big-Data Analytics年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0426641<br><br> <br><br>书目名称High-Performance Big-Data Analytics读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0426641<br><br> <br><br>书目名称High-Performance Big-Data Analytics读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0426641<br><br> <br><br>
contradict
发表于 2025-3-21 21:08:41
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音的强弱
发表于 2025-3-22 04:13:10
1617-7975 ase studies and examples of best practice.Includes learning This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. Features: includes case studies and learning activities throughout the book and self-study exercises in
大包裹
发表于 2025-3-22 05:48:52
In-Database Processing and In-Memory Analytics,rocessing to the data is the principle advocated by in-database processing, while the in memory focuses on keeping the data completely in memory to increase the processing speed. In this chapter, we will learn and analyze these two and study some use case to improve our understanding.
凹处
发表于 2025-3-22 11:53:56
High-Performance Grids and Clusters,rids is vastly different. The clusters are generally employed with the locally interconnected systems, whereas grids are employed at a much wider and distributed scale. In this chapter we will learn more about these two interconnected paradigms and study some use cases.
繁重
发表于 2025-3-22 13:34:40
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Incorruptible
发表于 2025-3-22 18:30:49
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Spina-Bifida
发表于 2025-3-22 22:56:02
High-Performance Computing (HPC) Paradigms, extinct but have surprised the business on how it has evolved with better capabilities to handle real-time data and the so-called big data. This chapter covers all interesting solutions on how mainframe can still be used to provide better client solutions.
光亮
发表于 2025-3-23 03:51:01
High-Performance Peer-to-Peer Systems,jor theme for high-performance computing. With goals of dynamism, ad hoc collaboration, and cost sharing, these platforms show the following distinguishing traits: decentralization, highly scalability, and low cost of ownership. In this chapter, we learn about the design goals and principles and various commercial and scientific systems available.
cajole
发表于 2025-3-23 08:38:05
Big Data Analytics for Healthcare,nts. In this chapter, we will talk about various market factors affecting healthcare and how big data and analytics can help bring out value from data. We will look into interesting facts about various technology adoptions like IBM Watson and how these new technology adoptions play a vital role in improving the quality of care.