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, Big Analytics

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Release : 2013-01-22
Genre : Business & Economics
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Book Rating : 60X/5 ( reviews)

Big Data, Big 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, Big Analytics write by Michael Minelli. This book was released on 2013-01-22. Big Data, Big Analytics available in PDF, EPUB and Kindle. Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.

New Horizons for a Data-Driven Economy

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Release : 2016-04-04
Genre : Computers
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Book Rating : 698/5 ( reviews)

New Horizons for a Data-Driven Economy - 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 New Horizons for a Data-Driven Economy write by José María Cavanillas. This book was released on 2016-04-04. New Horizons for a Data-Driven Economy available in PDF, EPUB and Kindle. In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.

Big Data Management

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Release : 2020-11-09
Genre : Business & Economics
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Book Rating : 321/5 ( reviews)

Big Data Management - 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 write by Peter Ghavami. This book was released on 2020-11-09. Big Data Management available in PDF, EPUB and Kindle. Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world’s leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations.

Big Data Imperatives

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Release : 2013-06-24
Genre : Computers
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Book Rating : 726/5 ( reviews)

Big Data Imperatives - 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 Imperatives write by Soumendra Mohanty. This book was released on 2013-06-24. Big Data Imperatives available in PDF, EPUB and Kindle. Big Data Imperatives, focuses on resolving the key questions on everyone's mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications? Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use. Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible. This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this book intends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.