Managing Big Data In Cloud Computing Environments
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Managing Big Data In Cloud Computing Environments
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Author : Ma, Zongmin
language : en
Publisher: IGI Global
Release Date : 2016-02-02
Managing Big Data In Cloud Computing Environments written by Ma, Zongmin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-02 with Computers categories.
Cloud computing has proven to be a successful paradigm of service-oriented computing, and has revolutionized the way computing infrastructures are abstracted and used. By means of cloud computing technology, massive data can be managed effectively and efficiently to support various aspects of problem solving and decision making. Managing Big Data in Cloud Computing Environments explores the latest advancements in the area of data management and analysis in the cloud. Providing timely, research-based information relating to data storage, sharing, extraction, and indexing in cloud systems, this publication is an ideal reference source for graduate students, IT specialists, researchers, and professionals working in the areas of data and knowledge engineering.
Big Data Intelligence And Management In Cloud Computing Environments
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Author : Zongmin Ma
language : en
Publisher: Engineering Science Reference
Release Date : 2020
Big Data Intelligence And Management In Cloud Computing Environments written by Zongmin Ma and has been published by Engineering Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Big data categories.
"This book examines the technologies and applications of big data intelligence"--
Big Data Analytics And Cloud Computing
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Author : Syed Thouheed Ahmed
language : en
Publisher: MileStone Research Publications
Release Date : 2021-09-05
Big Data Analytics And Cloud Computing written by Syed Thouheed Ahmed and has been published by MileStone Research Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-05 with Computers categories.
Big data analytics and cloud computing is the fastest growing technologies in current era. This text book serves as a purpose in providing an understanding of big data principles and framework at the beginner?s level. The text book covers various essential concepts of big-data analytics and processing tools such as HADOOP and YARN. The Textbook covers an analogical understanding on bridging cloud computing with big-data technologies with essential cloud infrastructure protocol and ecosystem concepts. PART I: Hadoop Distributed File System Basics, Running Example Programs and Benchmarks, Hadoop MapReduce Framework Essential Hadoop Tools, Hadoop YARN Applications, Managing Hadoop with Apache Ambari, Basic Hadoop Administration Procedures PART II: Introduction to Cloud Computing: Origins and Influences, Basic Concepts and Terminology, Goals and Benefits, Risks and Challenges. Fundamental Concepts and Models: Roles and Boundaries, Cloud Characteristics, Cloud Delivery Models, Cloud Deployment Models. Cloud Computing Technologies:Broadband networks and internet architecture, data center technology, virtualization technology, web technology, multi-tenant technology, service Technology Cloud Infrastructure Mechanisms:Logical Network Perimeter, Virtual Server, Cloud Storage Device, Cloud Usage Monitor, Resource Replication, Ready-made environment
Big Data As A Key Driver Of Change Management The Importance Of Culture Change In Transformation Processes
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Author : Parvin Abdurahmanov
language : en
Publisher: GRIN Verlag
Release Date : 2020-12-29
Big Data As A Key Driver Of Change Management The Importance Of Culture Change In Transformation Processes written by Parvin Abdurahmanov and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-29 with Business & Economics categories.
Master's Thesis from the year 2020 in the subject Business economics - Business Management, Corporate Governance, grade: 94/110, University of Rome "Tor Vergata", language: English, abstract: This thesis deals with Big Data as a key driver of Change Management and the importance of Culture Change in transformation processes. It aims to answer the following questions: What is the Fourth Industrial Revolution’s enabling technology that companies need to concentrate on extraction value in the phase of volatility and uncertainty? How can companies use change management theories and practices to stay competitive and agile? How do companies deal with the resistance to change? What is the role of Culture Change? Throughout the research, the Industry 4.0 as the background and central statue behind der study is examined. Change Management and Big Data are explored broadly in primary academic sources. This research contributes to the literature by providing a comprehensive picture of the essential determinants of successful change management that connects the gab between the different aspects raised in the literature. The world is transforming every day: customer needs are changing; technology is advancing, and the economy is evolving. Businesses who fail to embrace change can easily wind up as dinosaurs. This study analyses decisive change drivers coming with Industry 4.0, particularly Big Data. The core to effectively proceeding Industry 4.0 is to move from a traditional waterfall concept to an agile manner. Effective change management is crucial. Big Data transformations require an innovative way of thinking about how change impacts people, culture, organisations, processes and more. While resistance is the normal human reaction in times of change, Culture Change is critically essential to transformation and can mitigate much of the resistance. Digital transformation is not mainly about technology, it is about agility – organisations’ culture plays a decisive role in the digital transformation of every business.
Large Scale And Big Data
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Author : Sherif Sakr
language : en
Publisher: CRC Press
Release Date : 2014-06-25
Large Scale And Big Data written by Sherif Sakr and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-25 with Computers categories.
Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the fundamental challenges associated with Big Data processing tools and techniques across a range of computing environments. The book begins by discussing the basic concepts and tools of large-scale Big Data processing and cloud computing. It also provides an overview of different programming models and cloud-based deployment models. The book’s second section examines the usage of advanced Big Data processing techniques in different domains, including semantic web, graph processing, and stream processing. The third section discusses advanced topics of Big Data processing such as consistency management, privacy, and security. Supplying a comprehensive summary from both the research and applied perspectives, the book covers recent research discoveries and applications, making it an ideal reference for a wide range of audiences, including researchers and academics working on databases, data mining, and web scale data processing. After reading this book, you will gain a fundamental understanding of how to use Big Data-processing tools and techniques effectively across application domains. Coverage includes cloud data management architectures, big data analytics visualization, data management, analytics for vast amounts of unstructured data, clustering, classification, link analysis of big data, scalable data mining, and machine learning techniques.
Advances In Science And Engineering Ii
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Author : Robin G. Qiu
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2011-10-27
Advances In Science And Engineering Ii written by Robin G. Qiu and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-27 with Technology & Engineering categories.
Selected, peer reviewed papers from the 2011 WASE Global Conference on Science Engineering (GCSE 2011), December 10-11, 2011, Taiyuan & Xian, China
Big Data Management And Processing
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Author : Kuan-Ching Li
language : en
Publisher: CRC Press
Release Date : 2017-05-19
Big Data Management And Processing written by Kuan-Ching Li and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-19 with Business & Economics categories.
From the Foreword: "Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related to this exciting and rapidly growing field, covers processing, management, analytics, and applications... [It] is a very valuable addition to the literature. It will serve as a source of up-to-date research in this continuously developing area. The book also provides an opportunity for researchers to explore the use of advanced computing technologies and their impact on enhancing our capabilities to conduct more sophisticated studies." ---Sartaj Sahni, University of Florida, USA "Big Data Management and Processing covers the latest Big Data research results in processing, analytics, management and applications. Both fundamental insights and representative applications are provided. This book is a timely and valuable resource for students, researchers and seasoned practitioners in Big Data fields. --Hai Jin, Huazhong University of Science and Technology, China Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage of innovative problem solving techniques for a range of platforms. It serves as a repository of paradigms, technologies, and applications that target different facets of big data computing systems. The first part of the book explores energy and resource management issues, as well as legal compliance and quality management for Big Data. It covers In-Memory computing and In-Memory data grids, as well as co-scheduling for high performance computing applications. The second part of the book includes comprehensive coverage of Hadoop and Spark, along with security, privacy, and trust challenges and solutions. The latter part of the book covers mining and clustering in Big Data, and includes applications in genomics, hospital big data processing, and vehicular cloud computing. The book also analyzes funding for Big Data projects.
Data Intensive Workflow Management
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Author : Daniel C. M. de Oliveira
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2019-05-13
Data Intensive Workflow Management written by Daniel C. M. de Oliveira and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-13 with Computers categories.
Workflows may be defined as abstractions used to model the coherent flow of activities in the context of an in silico scientific experiment. They are employed in many domains of science such as bioinformatics, astronomy, and engineering. Such workflows usually present a considerable number of activities and activations (i.e., tasks associated with activities) and may need a long time for execution. Due to the continuous need to store and process data efficiently (making them data-intensive workflows), high-performance computing environments allied to parallelization techniques are used to run these workflows. At the beginning of the 2010s, cloud technologies emerged as a promising environment to run scientific workflows. By using clouds, scientists have expanded beyond single parallel computers to hundreds or even thousands of virtual machines. More recently, Data-Intensive Scalable Computing (DISC) frameworks (e.g., Apache Spark and Hadoop) and environments emerged and are being used to execute data-intensive workflows. DISC environments are composed of processors and disks in large-commodity computing clusters connected using high-speed communications switches and networks. The main advantage of DISC frameworks is that they support and grant efficient in-memory data management for large-scale applications, such as data-intensive workflows. However, the execution of workflows in cloud and DISC environments raise many challenges such as scheduling workflow activities and activations, managing produced data, collecting provenance data, etc. Several existing approaches deal with the challenges mentioned earlier. This way, there is a real need for understanding how to manage these workflows and various big data platforms that have been developed and introduced. As such, this book can help researchers understand how linking workflow management with Data-Intensive Scalable Computing can help in understanding and analyzing scientific big data. In this book, we aim to identify and distill the body of work on workflow management in clouds and DISC environments. We start by discussing the basic principles of data-intensive scientific workflows. Next, we present two workflows that are executed in a single site and multi-site clouds taking advantage of provenance. Afterward, we go towards workflow management in DISC environments, and we present, in detail, solutions that enable the optimized execution of the workflow using frameworks such as Apache Spark and its extensions.
Official Google Cloud Certified Associate Cloud Engineer Study Guide
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Author : Dan Sullivan
language : en
Publisher: John Wiley & Sons
Release Date : 2019-04-16
Official Google Cloud Certified Associate Cloud Engineer Study Guide written by Dan Sullivan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-16 with Computers categories.
The Only Official Google Cloud Study Guide The Official Google Cloud Certified Associate Cloud Engineer Study Guide, provides everything you need to prepare for this important exam and master the skills necessary to land that coveted Google Cloud Engineering certification. Beginning with a pre-book assessment quiz to evaluate what you know before you begin, each chapter features exam objectives and review questions, plus the online learning environment includes additional complete practice tests. Written by Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Official Google Cloud Certified Associate Cloud Engineer Study Guide is your ace in the hole for deploying and managing Google Cloud Services. Select the right Google service from the various choices based on the application to be built Compute with Cloud VMs and managing VMs Plan and deploying storage Network and configure access and security Google Cloud Platform is a leading public cloud that provides its users to many of the same software, hardware, and networking infrastructure used to power Google services. Businesses, organizations, and individuals can launch servers in minutes, store petabytes of data, and implement global virtual clouds with the Google Cloud Platform. Certified Associate Cloud Engineers have demonstrated the knowledge and skills needed to deploy and operate infrastructure, services, and networks in the Google Cloud. This exam guide is designed to help you understand the Google Cloud Platform in depth so that you can meet the needs of those operating resources in the Google Cloud.
Computers And Information Processing Technologies I
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Author : Prasad Yarlagadda
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2014-06-10
Computers And Information Processing Technologies I written by Prasad Yarlagadda and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-10 with Technology & Engineering categories.
Selected, peer reviewed papers from the International Conference on Computers and Information Processing Technologies (ICCIPT 2014), April 23-24, 2014, Shanghai, China