Highlighting the Importance of Big Data Management and Analysis for Various Applications

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Release : 2017-08-22
Genre : Business & Economics
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Book Rating : 551/5 ( reviews)

Highlighting the Importance of Big Data Management and Analysis for Various Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Highlighting the Importance of Big Data Management and Analysis for Various Applications write by Mohammad Moshirpour. This book was released on 2017-08-22. Highlighting the Importance of Big Data Management and Analysis for Various Applications available in PDF, EPUB and Kindle. This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business. Featuring chapters which discuss effective and efficient approaches in dealing with the inherent complexity and increasing demands in data science, a variety of application domains are covered. Various case studies by data management and analysis experts are presented in these chapters. Covered applications include banking, social networks, bioinformatics, healthcare, transportation and criminology. Highlighting the Importance of Big Data Management and Analysis for Various Applications will provide the reader with an understanding of how data management and analysis are adapted to these applications. This book will appeal to researchers and professionals in the field.

Big Data

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Release : 2011
Genre : Competition, International
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Book Rating : /5 ( reviews)

Big Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data write by . This book was released on 2011. Big Data available in PDF, EPUB and Kindle.

Big Data on Real-World Applications

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Release : 2016-07-20
Genre : Computers
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Book Rating : 897/5 ( reviews)

Big Data on Real-World Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data on Real-World Applications write by Sebastian Ventura Soto. This book was released on 2016-07-20. Big Data on Real-World Applications available in PDF, EPUB and Kindle. As technology advances, high volumes of valuable data are generated day by day in modern organizations. The management of such huge volumes of data has become a priority in these organizations, requiring new techniques for data management and data analysis in Big Data environments. These environments encompass many different fields including medicine, education data, and recommender systems. The aim of this book is to provide the reader with a variety of fields and systems where the analysis and management of Big Data are essential. This book describes the importance of the Big Data era and how existing information systems are required to be adapted to face up the problems derived from the management of massive datasets.

Effective Big Data Management and Opportunities for Implementation

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Release : 2016-06-20
Genre : Computers
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Book Rating : 835/5 ( reviews)

Effective Big Data Management and Opportunities for Implementation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Effective Big Data Management and Opportunities for Implementation write by Singh, Manoj Kumar. This book was released on 2016-06-20. Effective Big Data Management and Opportunities for Implementation available in PDF, EPUB and Kindle. “Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. Effective Big Data Management and Opportunities for Implementation explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.

Big Data Management And Analytics

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Release : 2023-12-05
Genre : Computers
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Book Rating : 132/5 ( reviews)

Big Data Management And Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data Management And Analytics write by Brij B Gupta. This book was released on 2023-12-05. Big Data Management And Analytics available in PDF, EPUB and Kindle. With the proliferation of information, big data management and analysis have become an indispensable part of any system to handle such amounts of data. The amount of data generated by the multitude of interconnected devices increases exponentially, making the storage and processing of these data a real challenge.Big data management and analytics have gained momentum in almost every industry, ranging from finance or healthcare. Big data can reveal key insights if handled and analyzed properly; it has great application potential to improve the working of any industry. This book covers the spectrum aspects of big data; from the preliminary level to specific case studies. It will help readers gain knowledge of the big data landscape.Highlights of the topics covered include description of the Big Data ecosystem; real-world instances of big data issues; how the Vs of Big Data (volume, velocity, variety, veracity, valence, and value) affect data collection, monitoring, storage, analysis, and reporting; structural process to get value out of Big Data and recognize the differences between a standard database management system and a big data management system.Readers will gain insights into choice of data models, data extraction, data integration to solve large data problems, data modelling using machine learning techniques, Spark's scalable machine learning techniques, modeling a big data problem into a graph database and performing scalable analytical operations over the graph and different tools and techniques for processing big data and its applications including in healthcare and finance.