Download or read book Practical Cloud Security written by Chris Dotson and published by O'Reilly Media. This book was released on 2019-03-04 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: With their rapidly changing architecture and API-driven automation, cloud platforms come with unique security challenges and opportunities. This hands-on book guides you through security best practices for multivendor cloud environments, whether your company plans to move legacy on-premises projects to the cloud or build a new infrastructure from the ground up. Developers, IT architects, and security professionals will learn cloud-specific techniques for securing popular cloud platforms such as Amazon Web Services, Microsoft Azure, and IBM Cloud. Chris Dotson—an IBM senior technical staff member—shows you how to establish data asset management, identity and access management, vulnerability management, network security, and incident response in your cloud environment.

Download or read book Managing Content in the Cloud written by Tom Jenkins and published by . This book was released on 2010 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Information Storage and Management written by EMC Education Services and published by John Wiley & Sons. This book was released on 2012-04-30 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of a bestseller, now revised and update throughout! This new edition of the unparalleled bestseller serves as a full training course all in one and as the world's largest data storage company, EMC is the ideal author for such a critical resource. They cover the components of a storage system and the different storage system models while also offering essential new material that explores the advances in existing technologies and the emergence of the "Cloud" as well as updates and vital information on new technologies. Features a separate section on emerging area of cloud computing Covers new technologies such as: data de-duplication, unified storage, continuous data protection technology, virtual provisioning, FCoE, flash drives, storage tiering, big data, and more Details storage models such as Network Attached Storage (NAS), Storage Area Network (SAN), Object Based Storage along with virtualization at various infrastructure components Explores Business Continuity and Security in physical and virtualized environment Includes an enhanced Appendix for additional information This authoritative guide is essential for getting up to speed on the newest advances in information storage and management.

Download or read book Ahead in the Cloud written by Stephen Orban and published by Createspace Independent Publishing Platform. This book was released on 2018-03-27 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cloud computing is the most significant technology development of our lifetimes. It has made countless new businesses possible and presents a massive opportunity for large enterprises to innovate like startups and retire decades of technical debt. But making the most of the cloud requires much more from enterprises than just a technology change. Stephen Orban led Dow Jones's journey toward digital agility as their CIO and now leads AWS's Enterprise Strategy function, where he helps leaders from the largest companies in the world transform their businesses. As he demonstrates in this book, enterprises must re-train their people, evolve their processes, and transform their cultures as they move to the cloud. By bringing together his experiences and those of a number of business leaders, Orban shines a light on what works, what doesn't, and how enterprises can transform themselves using the cloud.

Download or read book Managing Data in Motion written by April Reeve and published by Newnes. This book was released on 2013-02-26 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment. The average enterprise's computing environment is comprised of hundreds to thousands computer systems that have been built, purchased, and acquired over time. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one format to another when old systems are replaced and new systems are acquired. The management of the "data in motion" in organizations is rapidly becoming one of the biggest concerns for business and IT management. Data warehousing and conversion, real-time data integration, and cloud and "big data" applications are just a few of the challenges facing organizations and businesses today. Managing Data in Motion tackles these and other topics in a style easily understood by business and IT managers as well as programmers and architects. Presents a vendor-neutral overview of the different technologies and techniques for moving data between computer systems including the emerging solutions for unstructured as well as structured data types Explains, in non-technical terms, the architecture and components required to perform data integration Describes how to reduce the complexity of managing system interfaces and enable a scalable data architecture that can handle the dimensions of "Big Data"

Download or read book Managing Big Data in Cloud Computing Environments written by Ma, Zongmin and published by IGI Global. This book was released on 2016-02-02 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Managing and Processing Big Data in Cloud Computing written by Kannan, Rajkumar and published by IGI Global. This book was released on 2016-01-07 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data has presented a number of opportunities across industries. With these opportunities come a number of challenges associated with handling, analyzing, and storing large data sets. One solution to this challenge is cloud computing, which supports a massive storage and computation facility in order to accommodate big data processing. Managing and Processing Big Data in Cloud Computing explores the challenges of supporting big data processing and cloud-based platforms as a proposed solution. Emphasizing a number of crucial topics such as data analytics, wireless networks, mobile clouds, and machine learning, this publication meets the research needs of data analysts, IT professionals, researchers, graduate students, and educators in the areas of data science, computer programming, and IT development.

Download or read book Enterprise Content Management in Information Systems Research written by Jan vom Brocke and published by Springer Science & Business Media. This book was released on 2013-11-04 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects ECM research from the academic discipline of Information Systems and related fields to support academics and practitioners who are interested in understanding the design, use and impact of ECM systems. It also provides a valuable resource for students and lecturers in the field. “Enterprise content management in Information Systems research – Foundations, methods and cases” consolidates our current knowledge on how today’s organizations can manage their digital information assets. The business challenges related to organizational information management include reducing search times, maintaining information quality, and complying with reporting obligations and standards. Many of these challenges are well-known in information management, but because of the vast quantities of information being generated today, they are more difficult to deal with than ever. Many companies use the term “enterprise content management” (ECM) to refer to the management of all forms of information, especially unstructured information. While ECM systems promise to increase and maintain information quality, to streamline content-related business processes, and to track the lifecycle of information, their implementation poses several questions and challenges: Which content objects should be put under the control of the ECM system? Which processes are affected by the implementation? How should outdated technology be replaced? Research is challenged to support practitioners in answering these questions.

Download or read book Designing Cloud Data Platforms written by Danil Zburivsky and published by Simon and Schuster. This book was released on 2021-03-17 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Designing Cloud Data Platforms, Danil Zburivsky and Lynda Partner reveal a six-layer approach that increases flexibility and reduces costs. Discover patterns for ingesting data from a variety of sources, then learn to harness pre-built services provided by cloud vendors. Summary Centralized data warehouses, the long-time defacto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms. Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantage of advanced analytic practices to drive predictions and as yet unimagined data services. Designing Cloud Data Platforms is a hands-on guide to envisioning and designing a modern scalable data platform that takes full advantage of the flexibility of the cloud. As you read, you’ll learn the core components of a cloud data platform design, along with the role of key technologies like Spark and Kafka Streams. You’ll also explore setting up processes to manage cloud-based data, keep it secure, and using advanced analytic and BI tools to analyze it. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Well-designed pipelines, storage systems, and APIs eliminate the complicated scaling and maintenance required with on-prem data centers. Once you learn the patterns for designing cloud data platforms, you’ll maximize performance no matter which cloud vendor you use. About the book In Designing Cloud Data Platforms, Danil Zburivsky and Lynda Partner reveal a six-layer approach that increases flexibility and reduces costs. Discover patterns for ingesting data from a variety of sources, then learn to harness pre-built services provided by cloud vendors. What's inside Best practices for structured and unstructured data sets Cloud-ready machine learning tools Metadata and real-time analytics Defensive architecture, access, and security About the reader For data professionals familiar with the basics of cloud computing, and Hadoop or Spark. About the author Danil Zburivsky has over 10 years of experience designing and supporting large-scale data infrastructure for enterprises across the globe. Lynda Partner is the VP of Analytics-as-a-Service at Pythian, and has been on the business side of data for over 20 years. Table of Contents 1 Introducing the data platform 2 Why a data platform and not just a data warehouse 3 Getting bigger and leveraging the Big 3: Amazon, Microsoft Azure, and Google 4 Getting data into the platform 5 Organizing and processing data 6 Real-time data processing and analytics 7 Metadata layer architecture 8 Schema management 9 Data access and security 10 Fueling business value with data platforms

Download or read book Cloud Services Networking and Management written by Nelson L. S. da Fonseca and published by John Wiley & Sons. This book was released on 2015-04-20 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cloud Services, Networking and Management provides a comprehensive overview of the cloud infrastructure and services, as well as their underlying management mechanisms, including data center virtualization and networking, cloud security and reliability, big data analytics, scientific and commercial applications. Special features of the book include: State-of-the-art content Self-contained chapters for readers with specific interests Includes commercial applications on Cloud (video services and games)

Download or read book Machine Learning for Cloud Management written by Jitendra Kumar and published by CRC Press. This book was released on 2021-11-26 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cloud computing offers subscription-based on-demand services, and it has emerged as the backbone of the computing industry. It has enabled us to share resources among multiple users through virtualization, which creates a virtual instance of a computer system running in an abstracted hardware layer. Unlike early distributed computing models, it offers virtually limitless computing resources through its large scale cloud data centers. It has gained wide popularity over the past few years, with an ever-increasing infrastructure, a number of users, and the amount of hosted data. The large and complex workloads hosted on these data centers introduce many challenges, including resource utilization, power consumption, scalability, and operational cost. Therefore, an effective resource management scheme is essential to achieve operational efficiency with improved elasticity. Machine learning enabled solutions are the best fit to address these issues as they can analyze and learn from the data. Moreover, it brings automation to the solutions, which is an essential factor in dealing with large distributed systems in the cloud paradigm. Machine Learning for Cloud Management explores cloud resource management through predictive modelling and virtual machine placement. The predictive approaches are developed using regression-based time series analysis and neural network models. The neural network-based models are primarily trained using evolutionary algorithms, and efficient virtual machine placement schemes are developed using multi-objective genetic algorithms. Key Features: The first book to set out a range of machine learning methods for efficient resource management in a large distributed network of clouds. Predictive analytics is an integral part of efficient cloud resource management, and this book gives a future research direction to researchers in this domain. It is written by leading international researchers. The book is ideal for researchers who are working in the domain of cloud computing.

Download or read book Cloud and Virtual Data Storage Networking written by Greg Schulz and published by CRC Press. This book was released on 2011-08-26 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: The amount of data being generated, processed, and stored has reached unprecedented levels. Even during the recent economic crisis, there has been no slow down or information recession. Instead, the need to process, move, and store data has only increased. Consequently, IT organizations are looking to do more with what they have while supporting gr

Download or read book Challenges of Information Management Beyond the Cloud written by John N. Gathegi and published by Springer. This book was released on 2014-12-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Symposium on Information Management in a Changing World, IMCW 2013, held in Limerick, Ireland, in September 2013. The 12 revised full papers presented together with three keynotes were carefully reviewed and selected from 31 submissions. The papers deal with the following topics: Cloud Architectures and Cultural Memory; Cloud Computing Beyond the Obvious: An Approach for Innovation; Cloud Computing: A New Generation of Technology Enables Deeper Collaboration; Evaluation of Conditions Regarding Cloud Computing Applications in Turkey, EU and the USA; Trustworthy Digital Images and the Cloud: Early Findings of the Records in the Cloud Project; Cloud Computing and Copyright: New Challenges in Legal Protection? Clouding Big Data: Information Privacy Considerations; The Influence of Recent Court Cases Relating to Copyright Changes in Cloud Computing Services in Japan; Government Participation in Digital Copyright Licensing in the Cloud Computing Environment; Evaluation of Information Security Approaches: A Defense Industry Organization Case; Information-Seeking Behavior of Undergraduate, Graduate, and Doctoral Students: A Survey of Istanbul University, Turkey; Students Readiness for E-Learning: An Assessment on Hacettepe University Department of Information Management; Evaluation of Scientific Disciplines in Turkey: A Citation Analysis Study.

Download or read book 17th International Conference on Intellectual Capital Knowledge Management Organisational Learning written by Anthony Wensley and published by Academic Conferences International limited. This book was released on 2020-10-15 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: These proceedings represent the work of contributors to the 17th International Conference on Intellectual Capital, Knowledge Management & Organisational Learning (ICICKM 2020), hosted by ACI and the University of Toronto, Canada on 15-16 October 2020. The Conference Chairs are Dr. Anthony Wensley, from the University of Toronto and Dr. Max Evans, from McGill University. The Programme Chair is Dr. Ilja Frissen from McGill University.

Download or read book PROCEEDINGS OF NATIONAL SEMINAR ON MULTIDISCIPLINARY RESEARCH AND PRACTICE VOLUME 1 written by Dr. M. Kanika Priya and published by JEC PUBLICATION. This book was released on with total page 1217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Conference Proceedings of the National Seminar entitled “Multidisciplinary Research and Practice” compiled by Dr. M. Kanika Priya records various research papers written by eminent scholars, professors and students. The articles range from English literature to Tamil literature, Arts, Humanities, Social Science, Education, Performing Arts, Information and Communication Technology, Engineering, Technology and Science, Medicine and Pharmaceutical Research, Economics, Sociology, Philosophy, Business, Management, Commerce and Accounting, Teacher Education, Higher Education, Primary and Secondary Education, Law, Science (Mathematics, Physics, Chemistry, Zoology, Botany), Agriculture and Computer Science. Researchers and faculty members from various disciplines have contributed their research papers. This book contains articles in Three languages, namely: English, Tamil and Hindi. As a editor Dr. M. Kanika Priya has taken up the tedious job of checking the validity and correctness of the research work in bringing out this conference proceedings in a beautiful manner. In its present shape and size, this anthology will, hopefully, find a place on the library shelves and enlighten the academics all round the world.

Download or read book Cloud Security and Privacy written by Tim Mather and published by "O'Reilly Media, Inc.". This book was released on 2009-09-04 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: You may regard cloud computing as an ideal way for your company to control IT costs, but do you know how private and secure this service really is? Not many people do. With Cloud Security and Privacy, you'll learn what's at stake when you trust your data to the cloud, and what you can do to keep your virtual infrastructure and web applications secure. Ideal for IT staffers, information security and privacy practitioners, business managers, service providers, and investors alike, this book offers you sound advice from three well-known authorities in the tech security world. You'll learn detailed information on cloud computing security that-until now-has been sorely lacking. Review the current state of data security and storage in the cloud, including confidentiality, integrity, and availability Learn about the identity and access management (IAM) practice for authentication, authorization, and auditing of the users accessing cloud services Discover which security management frameworks and standards are relevant for the cloud Understand the privacy aspects you need to consider in the cloud, including how they compare with traditional computing models Learn the importance of audit and compliance functions within the cloud, and the various standards and frameworks to consider Examine security delivered as a service-a different facet of cloud security

Download or read book Vehicular Cloud Computing for Traffic Management and Systems written by Grover, Jyoti and published by IGI Global. This book was released on 2018-06-22 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Road accidents caused by impaired and distracted driving as well as traffic congestion are on the rise, with the numbers increasing dramatically every day. Intelligent transportation systems (ITS) aim to improve the efficiency and safety of traveling by consolidating vehicle operations, managing vehicle traffic, and notifying drivers with alerts and safety messages in real time. Vehicular Cloud Computing for Traffic Management and Systems provides innovative research on the rapidly advancing applications of vehicle-to-vehicle and vehicle-to-infrastructure communication. It also covers the need to fully utilize vehicular ad-hoc network (VANET) resources to provide updated and dynamic information about the conditions of road traffic so that the number of road accidents can be minimized. Featuring research on topics such as identity management, computational architecture, and resource management, this book is ideally designed for urban planners, researchers, policy makers, graduate-level students, transportation engineers, and technology developers seeking current research on vehicle computational design, architecture, security, and privacy.