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Understanding Big Data (2012)
2019-05-29 上传大小:2.59MB
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Understanding_Big_Data(大数据)

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Understanding Big Data (2012).pdf

Understanding Big Data Analytics for enterprise class hadoop and streaming data

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Modern Big Data Processing with Hadoop

The book begins by quickly laying down the principles of enterprise data architecture and showing how they are related to the Apache Hadoop ecosystem. You will get a complete understanding of data life cycle management with Hadoop, followed by modeling structured and unstructured data in Hadoop. The

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A_Template_For_Understanding_Big_Debt_Crises

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Ray Dalio的新书《Big Debt Crises》

Raymond Dalio (born August 8, 1949) is an American billionaire investor, hedge fund manager, and philanthropist.[3] Dalio is the founder of investment firm Bridgewater Associates, one of the world's largest hedge funds.[4] As of January 2018, he is one of the world's 100 wealthiest people, according

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Understanding Big Data

big data IMB way an introduction to big data

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大数据基础指导

BigData Understanding How Data powers Big business

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大数据伦理学OReilly Ethics of Big Data

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Understanding Azure Data Factory: Operationalizing Big Data

Understanding Azure Data Factory: Operationalizing Big Data and Advanced Analytics Solutions By 作者: Sudhir Rawat ISBN-10 书号: 1484241215 ISBN-13 书号: 9781484241219 Edition 版本: 1st ed. 出版日期: 2018-12-19 pages 页数: (376) Improve your analytics and data platform to solve major challenges, including operat

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Understanding Delta-Sigma Data Converters

Delta-Sigma modulation的经典教材,内容由浅入深,而且还附上相关toolbox的使用指南,很实用!

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Streaming Data

About the technology As humans, we're constantly filtering and deciphering the information streaming toward us. In the same way, streaming data applications can accomplish amazing tasks like reading live location data to recommend nearby services, tracking faults with machinery in real time, and sen

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the Big Data Tidal Wave, Finding Opportunities in Huge Data Streams

( Wiley Taming the Big Data Tidal Wave, Finding Opportunities in Huge Data Streams with Advanced Analytics (2012).pdf )

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Understanding vision: theory, models, and data

This book came originally fromlecture notes used to teach students on computational/theoretical vision. Some readers may find that a paper, Zhaoping (2006) “Theoretical understanding of the early visual processes by data compression and data selection” in Network: Computation in neural systems 17(4)

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Big Data, Mining, and Analytics: Components of Strategic Decision Making

Book Description There is an ongoing data explosion transpiring that will make previous creations, collections, and storage of data look trivial. Big Data, Mining, and Analytics: Components of Strategic Decision Making ties together big data, data mining, and analytics to explain how readers can lev

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Big.Data.and.IT.Professionals.1514870622

Big Data and IT Professionals: A Study of the Perceptions Held by IT Professionals in Relation to the Maturity, Value, and Practical Deployment of Big Data Solutions This work documents a research project that investigated relationships between an information technology (IT) professional's self-ass

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Frank Kane's Taming Big Data with Apache Spark and Python 【含代码】

Frank Kane's Taming Big Data with Apache Spark and Python English | 2017 | ISBN-10: 1787287947 | 296 pages | AZW3/PDF/EPUB (conv) | 6.12 Mb Key Features Understand how Spark can be distributed across computing clusters Develop and run Spark jobs efficiently using Python A hands-on tutorial by Frank

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Big Data and Computational Intelligence in Networking

This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the comprehensive underst

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Big Data Analysis and Deep Learning Applications

This book presents a compilation of selected papers from the first International Conference on Big Data Analysis and Deep Learning Applications (ICBDL 2018), and focuses on novel techniques in the fields of big data analysis, machine learning, system monitoring, image processing, conventional neural

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