Harness The Power Of Big Data The Ibm Big Data Platform

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Harness the Power of Big Data The IBM Big Data Platform

Author : Paul Zikopoulos
Publisher : McGraw Hill Professional
ISBN 13 : 0071808183
Total Pages : 281 pages
Book Rating : 4.0/5 (718 download)

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Book Synopsis Harness the Power of Big Data The IBM Big Data Platform by : Paul Zikopoulos

Download or read book Harness the Power of Big Data The IBM Big Data Platform written by Paul Zikopoulos and published by McGraw Hill Professional. This book was released on 2012-11-08 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Boost your Big Data IQ! Gain insight into how to govern and consume IBM’s unique in-motion and at-rest Big Data analytic capabilities Big Data represents a new era of computing—an inflection point of opportunity where data in any format may be explored and utilized for breakthrough insights—whether that data is in-place, in-motion, or at-rest. IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is infusing open source Big Data technologies with IBM innovation that manifest in a platform capable of "changing the game." The four defining characteristics of Big Data—volume, variety, velocity, and veracity—are discussed. You’ll understand how IBM is fully committed to Hadoop and integrating it into the enterprise. Hear about how organizations are taking inventories of their existing Big Data assets, with search capabilities that help organizations discover what they could already know, and extend their reach into new data territories for unprecedented model accuracy and discovery. In this book you will also learn not just about the technologies that make up the IBM Big Data platform, but when to leverage its purpose-built engines for analytics on data in-motion and data at-rest. And you’ll gain an understanding of how and when to govern Big Data, and how IBM’s industry-leading InfoSphere integration and governance portfolio helps you understand, govern, and effectively utilize Big Data. Industry use cases are also included in this practical guide.

Harness the Power of Big Data The IBM Big Data Platform

Author : Paul Zikopoulos
Publisher : McGraw Hill Professional
ISBN 13 : 0071808175
Total Pages : 282 pages
Book Rating : 4.0/5 (718 download)

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Book Synopsis Harness the Power of Big Data The IBM Big Data Platform by : Paul Zikopoulos

Download or read book Harness the Power of Big Data The IBM Big Data Platform written by Paul Zikopoulos and published by McGraw Hill Professional. This book was released on 2012-10-18 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Boost your Big Data IQ! Gain insight into how to govern and consume IBM’s unique in-motion and at-rest Big Data analytic capabilities Big Data represents a new era of computing—an inflection point of opportunity where data in any format may be explored and utilized for breakthrough insights—whether that data is in-place, in-motion, or at-rest. IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is infusing open source Big Data technologies with IBM innovation that manifest in a platform capable of "changing the game." The four defining characteristics of Big Data—volume, variety, velocity, and veracity—are discussed. You’ll understand how IBM is fully committed to Hadoop and integrating it into the enterprise. Hear about how organizations are taking inventories of their existing Big Data assets, with search capabilities that help organizations discover what they could already know, and extend their reach into new data territories for unprecedented model accuracy and discovery. In this book you will also learn not just about the technologies that make up the IBM Big Data platform, but when to leverage its purpose-built engines for analytics on data in-motion and data at-rest. And you’ll gain an understanding of how and when to govern Big Data, and how IBM’s industry-leading InfoSphere integration and governance portfolio helps you understand, govern, and effectively utilize Big Data. Industry use cases are also included in this practical guide.

Encyclopedia of Information Systems and Technology - Two Volume Set

Author : Phillip A. Laplante
Publisher : CRC Press
ISBN 13 : 1000031748
Total Pages : 1307 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Encyclopedia of Information Systems and Technology - Two Volume Set by : Phillip A. Laplante

Download or read book Encyclopedia of Information Systems and Technology - Two Volume Set written by Phillip A. Laplante and published by CRC Press. This book was released on 2015-12-29 with total page 1307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spanning the multi-disciplinary scope of information technology, the Encyclopedia of Information Systems and Technology draws together comprehensive coverage of the inter-related aspects of information systems and technology. The topics covered in this encyclopedia encompass internationally recognized bodies of knowledge, including those of The IT BOK, the Chartered Information Technology Professionals Program, the International IT Professional Practice Program (British Computer Society), the Core Body of Knowledge for IT Professionals (Australian Computer Society), the International Computer Driving License Foundation (European Computer Driving License Foundation), and the Guide to the Software Engineering Body of Knowledge. Using the universally recognized definitions of IT and information systems from these recognized bodies of knowledge, the encyclopedia brings together the information that students, practicing professionals, researchers, and academicians need to keep their knowledge up to date. Also Available Online This Taylor & Francis encyclopedia is also available through online subscription, offering a variety of extra benefits for researchers, students, and librarians, including:  Citation tracking and alerts  Active reference linking  Saved searches and marked lists  HTML and PDF format options Contact Taylor and Francis for more information or to inquire about subscription options and print/online combination packages. US: (Tel) 1.888.318.2367; (E-mail) [email protected] International: (Tel) +44 (0) 20 7017 6062; (E-mail) [email protected]

Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

Author : Nilanjan Dey
Publisher : Springer
ISBN 13 : 331960435X
Total Pages : 549 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Internet of Things and Big Data Analytics Toward Next-Generation Intelligence by : Nilanjan Dey

Download or read book Internet of Things and Big Data Analytics Toward Next-Generation Intelligence written by Nilanjan Dey and published by Springer. This book was released on 2017-08-14 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer. Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions. The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.

Big Data, Mining, and Analytics

Author : Stephan Kudyba
Publisher : CRC Press
ISBN 13 : 1466568704
Total Pages : 324 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Big Data, Mining, and Analytics by : Stephan Kudyba

Download or read book Big Data, Mining, and Analytics written by Stephan Kudyba and published by CRC Press. This book was released on 2014-03-12 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 leverage them to extract valuable insights from their data. Facilitating a clear understanding of big data, it supplies authoritative insights from expert contributors into leveraging data resources, including big data, to improve decision making. Illustrating basic approaches of business intelligence to the more complex methods of data and text mining, the book guides readers through the process of extracting valuable knowledge from the varieties of data currently being generated in the brick and mortar and internet environments. It considers the broad spectrum of analytics approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining. Includes a foreword by Thomas H. Davenport, Distinguished Professor, Babson College; Fellow, MIT Center for Digital Business; and Co-Founder, International Institute for Analytics Introduces text mining and the transforming of unstructured data into useful information Examines real time wireless medical data acquisition for today’s healthcare and data mining challenges Presents the contributions of big data experts from academia and industry, including SAS Highlights the most exciting emerging technologies for big data—Hadoop is just the beginning Filled with examples that illustrate the value of analytics throughout, the book outlines a conceptual framework for data modeling that can help you immediately improve your own analytics and decision-making processes. It also provides in-depth coverage of analyzing unstructured data with text mining methods to supply you with the well-rounded understanding required to leverage your information assets into improved strategic decision making.

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

Author : Paul Zikopoulos
Publisher : McGraw Hill Professional
ISBN 13 : 0071790543
Total Pages : 176 pages
Book Rating : 4.0/5 (717 download)

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Book Synopsis Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data by : Paul Zikopoulos

Download or read book Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data written by Paul Zikopoulos and published by McGraw Hill Professional. This book was released on 2011-10-22 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Data Intensive Computing Applications for Big Data

Author : M. Mittal
Publisher : IOS Press
ISBN 13 : 1614998140
Total Pages : 618 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Data Intensive Computing Applications for Big Data by : M. Mittal

Download or read book Data Intensive Computing Applications for Big Data written by M. Mittal and published by IOS Press. This book was released on 2018-01-31 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book ‘Data Intensive Computing Applications for Big Data’ discusses the technical concepts of big data, data intensive computing through machine learning, soft computing and parallel computing paradigms. It brings together researchers to report their latest results or progress in the development of the above mentioned areas. Since there are few books on this specific subject, the editors aim to provide a common platform for researchers working in this area to exhibit their novel findings. The book is intended as a reference work for advanced undergraduates and graduate students, as well as multidisciplinary, interdisciplinary and transdisciplinary research workers and scientists on the subjects of big data and cloud/parallel and distributed computing, and explains didactically many of the core concepts of these approaches for practical applications. It is organized into 24 chapters providing a comprehensive overview of big data analysis using parallel computing and addresses the complete data science workflow in the cloud, as well as dealing with privacy issues and the challenges faced in a data-intensive cloud computing environment. The book explores both fundamental and high-level concepts, and will serve as a manual for those in the industry, while also helping beginners to understand the basic and advanced aspects of big data and cloud computing.

Big Data: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1466698411
Total Pages : 2478 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Big Data: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Big Data: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2016-04-20 with total page 2478 pages. Available in PDF, EPUB and Kindle. Book excerpt: The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.

Big Data Analytics

Author : Arun K. Somani
Publisher : CRC Press
ISBN 13 : 1351180320
Total Pages : 399 pages
Book Rating : 4.3/5 (511 download)

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Book Synopsis Big Data Analytics by : Arun K. Somani

Download or read book Big Data Analytics written by Arun K. Somani and published by CRC Press. This book was released on 2017-10-30 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers.

Big Data at Work

Author : Scott Tonidandel
Publisher : Routledge
ISBN 13 : 1317702697
Total Pages : 321 pages
Book Rating : 4.3/5 (177 download)

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Book Synopsis Big Data at Work by : Scott Tonidandel

Download or read book Big Data at Work written by Scott Tonidandel and published by Routledge. This book was released on 2015-11-06 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: The amount of data in our world has been exploding, and analyzing large data sets—so called big data—will become a key basis of competition in business. Statisticians and researchers will be updating their analytic approaches, methods and research to meet the demands created by the availability of big data. The goal of this book is to show how advances in data science have the ability to fundamentally influence and improve organizational science and practice. This book is primarily designed for researchers and advanced undergraduate and graduate students in psychology, management and statistics.

Big Data Analysis for Green Computing

Author : Rohit Sharma
Publisher : CRC Press
ISBN 13 : 1000481786
Total Pages : 175 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Big Data Analysis for Green Computing by : Rohit Sharma

Download or read book Big Data Analysis for Green Computing written by Rohit Sharma and published by CRC Press. This book was released on 2021-10-28 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on big data in business intelligence, data management, machine learning, cloud computing, and smart cities. It also provides an interdisciplinary platform to present and discuss recent innovations, trends, and concerns in the fields of big data and analytics. Big Data Analysis for Green Computing: Concepts and Applications presents the latest technologies and covers the major challenges, issues, and advances of big data and data analytics in green computing. It explores basic as well as high-level concepts. It also includes the use of machine learning using big data and discusses advanced system implementation for smart cities. The book is intended for business and management educators, management researchers, doctoral scholars, university professors, policymakers, and higher academic research organizations.

Hadoop For Dummies

Author : Dirk deRoos
Publisher : John Wiley & Sons
ISBN 13 : 1118652207
Total Pages : 419 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Hadoop For Dummies by : Dirk deRoos

Download or read book Hadoop For Dummies written by Dirk deRoos and published by John Wiley & Sons. This book was released on 2014-03-21 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Let Hadoop For Dummies help harness the power of your data and rein in the information overload Big data has become big business, and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets with becoming overwhelmed. Enter Hadoop and this easy-to-understand For Dummies guide. Hadoop For Dummies helps readers understand the value of big data, make a business case for using Hadoop, navigate the Hadoop ecosystem, and build and manage Hadoop applications and clusters. Explains the origins of Hadoop, its economic benefits, and its functionality and practical applications Helps you find your way around the Hadoop ecosystem, program MapReduce, utilize design patterns, and get your Hadoop cluster up and running quickly and easily Details how to use Hadoop applications for data mining, web analytics and personalization, large-scale text processing, data science, and problem-solving Shows you how to improve the value of your Hadoop cluster, maximize your investment in Hadoop, and avoid common pitfalls when building your Hadoop cluster From programmers challenged with building and maintaining affordable, scaleable data systems to administrators who must deal with huge volumes of information effectively and efficiently, this how-to has something to help you with Hadoop.

Networking for Big Data

Author : Shui Yu
Publisher : CRC Press
ISBN 13 : 1482263505
Total Pages : 416 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Networking for Big Data by : Shui Yu

Download or read book Networking for Big Data written by Shui Yu and published by CRC Press. This book was released on 2015-07-28 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data. Starting with a comprehensive introduction to Big Data and its networking issues, it offers deep technical coverage of both theory and applications.The book is divided into four sections: introduction to Big Data,

Research Anthology on Big Data Analytics, Architectures, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1668436639
Total Pages : 1988 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Research Anthology on Big Data Analytics, Architectures, and Applications by : Management Association, Information Resources

Download or read book Research Anthology on Big Data Analytics, Architectures, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-09-24 with total page 1988 pages. Available in PDF, EPUB and Kindle. Book excerpt: Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Big Data Computing

Author : Rajendra Akerkar
Publisher : CRC Press
ISBN 13 : 1466578386
Total Pages : 562 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Big Data Computing by : Rajendra Akerkar

Download or read book Big Data Computing written by Rajendra Akerkar and published by CRC Press. This book was released on 2013-12-05 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis. Presenting a mix

Artificial Intelligence and Its Applications

Author : Brahim Lejdel
Publisher : Springer Nature
ISBN 13 : 303096311X
Total Pages : 613 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Artificial Intelligence and Its Applications by : Brahim Lejdel

Download or read book Artificial Intelligence and Its Applications written by Brahim Lejdel and published by Springer Nature. This book was released on 2022-03-11 with total page 613 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the proceedings of the second edition of the international Conference on Artificial Intelligence and its Applications (AIAP'21). This edition aims to bring together leading academic scientists, international researchers, and practitioners to exchange and share their experiences and research results on all aspects of Artificial Intelligence. It also provides an interdisciplinary platform for researchers, practitioners and students to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Artificial Intelligence. This international conference offers an opportunity to bridge the gap between the Artificial Intelligence research community and people from the industry or working in other research areas including smart cities, big data, cloud computing, social networks, and energy.

Exploring the Convergence of Big Data and the Internet of Things

Author : Prasad, A.V. Krishna
Publisher : IGI Global
ISBN 13 : 1522529489
Total Pages : 332 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Exploring the Convergence of Big Data and the Internet of Things by : Prasad, A.V. Krishna

Download or read book Exploring the Convergence of Big Data and the Internet of Things written by Prasad, A.V. Krishna and published by IGI Global. This book was released on 2017-08-11 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growth of Internet use and technologies has increased exponentially within the business sector. When utilized properly, these applications can enhance business functions and make them easier to perform. Exploring the Convergence of Big Data and the Internet of Things is a pivotal reference source featuring the latest empirical research on the business use of computing devices to send and receive data in conjunction with analytic applications to reduce maintenance costs, avoid equipment failures, and improve business operations. Including research on a broad range of topics such as supply chain, aquaculture, and speech recognition systems, this book is ideally designed for researchers, academicians, and practitioners seeking current research on various technology uses in business.