Data Analytics and Big Data

by Soraya Sedkaoui
Data Analytics and Big Data
Author: Soraya Sedkaoui
Publisher: John Wiley & Sons
Total Pages: 149
Release: 2018-05-24
Genre: Computers
ISBN: 1119528054
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The main purpose of this book is to investigate, explore and describe approaches and methods to facilitate data understanding through analytics solutions based on its principles, concepts and applications. But analyzing data is also about involving the use of software. For this, and in order to cover some aspect of data analytics, this book uses software (Excel, SPSS, Python, etc) which can help readers to better understand the analytics process in simple terms and supporting useful methods in its application.

Data Science and Big Data Analytics

by EMC Education Services
Data Science and Big Data Analytics
Author: EMC Education Services
Publisher: John Wiley & Sons
Total Pages: 432
Release: 2014-12-19
Genre: Computers
ISBN: 1118876229
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Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!

Big Data and Analytics

by Vincenzo Morabito
Big Data and Analytics
Author: Vincenzo Morabito
Publisher: Springer
Total Pages: 202
Release: 2015-01-31
Genre: Business & Economics
ISBN: 3319106651
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This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox to improve understanding and exploit business opportunities related to Big Data and analytics.

Big Data Analytics

by David Loshin
Big Data Analytics
Author: David Loshin
Publisher: Elsevier
Total Pages: 143
Release: 2013-08-23
Genre: Computers
ISBN: 0124186645
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Big Data Analytics will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually planning to integrate back into production within the enterprise. - Guides the reader in assessing the opportunities and value proposition - Overview of big data hardware and software architectures - Presents a variety of technologies and how they fit into the big data ecosystem

Big Data Analytics for Cyber-Physical Systems

by Guido Dartmann
Big Data Analytics for Cyber-Physical Systems
Author: Guido Dartmann
Publisher: Elsevier
Total Pages: 398
Release: 2019-07-15
Genre: Law
ISBN: 0128166460
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Big Data Analytics in Cyber-Physical Systems: Machine Learning for the Internet of Things examines sensor signal processing, IoT gateways, optimization and decision-making, intelligent mobility, and implementation of machine learning algorithms in embedded systems. This book focuses on the interaction between IoT technology and the mathematical tools used to evaluate the extracted data of those systems. Each chapter provides the reader with a broad list of data analytics and machine learning methods for multiple IoT applications. Additionally, this volume addresses the educational transfer needed to incorporate these technologies into our society by examining new platforms for IoT in schools, new courses and concepts for universities and adult education on IoT and data science. - Bridges the gap between IoT, CPS, and mathematical modelling - Features numerous use cases that discuss how concepts are applied in different domains and applications - Provides "best practices", "winning stories" and "real-world examples" to complement innovation - Includes highlights of mathematical foundations of signal processing and machine learning in CPS and IoT

Big Data, Big Analytics

by Michael Minelli
Big Data, Big Analytics
Author: Michael Minelli
Publisher: John Wiley & Sons
Total Pages: 230
Release: 2013-01-22
Genre: Business & Economics
ISBN: 111814760X
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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.

Big Data on Campus

by Karen L. Webber
Big Data on Campus
Author: Karen L. Webber
Publisher: Johns Hopkins University Press
Total Pages: 337
Release: 2020-11-03
Genre: Education
ISBN: 1421439034
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Webber, Henry Y. Zheng, Ying Zhou

Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data

by Paul Zikopoulos
Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Author: Paul Zikopoulos
Publisher: McGraw Hill Professional
Total Pages: 176
Release: 2011-10-22
Genre: Computers
ISBN: 0071790543
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Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data--volume, variety, and velocity--are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide. Learn how IBM hardens Hadoop for enterprise-class scalability and reliability Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform Learn tips and tricks for Big Data use cases and solutions Get a quick Hadoop primer

Big Data and Health Analytics

by Katherine Marconi
Big Data and Health Analytics
Author: Katherine Marconi
Publisher: CRC Press
Total Pages: 374
Release: 2014-12-20
Genre: Business & Economics
ISBN: 1482229250
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This book provides frameworks, use cases, and examples that illustrate the role of big data and analytics in modern health care, including how public health information can inform health delivery. Written for health care professionals and executives, this book presents the current thinking of academic and industry researchers and leaders from around the world. Using non-technical language, it includes case studies that illustrate the business processes that underlie the use of big data and health analytics to improve health care delivery.