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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"
As customers and service providers begin to consolidate more and more applications and workloads onto shared storage infrastructures, it becomes increasingly difficult to coordinate outages for planned downtime for things, such as hardware refreshes. This difficulty is because many users, groups, or customers might be using the shared storage infrastructure at the same time. Users expect these infrastructures to be available 24/7, so it is imperative that service outages that are required for storage life-cycle management, cost/service-level optimization, and any other planned downtime do not disturb the availability of the always-on infrastructure. In this IBM® Redbooks® publication, we introduce you to the business value of Data Motion and its features. Storage and system administrators, data center managers, and IT as a service (ITaaS) providers will benefit from reading this book. In this publication, we assume that you have a basic knowledge of N series storage systems and Data ONTAP®, SnapMirror®, MultiStore®, and Provisioning Manager. A complete understanding of all Provisioning Manager features is not necessary. Also, basic knowledge of host and vFiler management from Provisioning Manager is sufficient. Data Motion significantly improves the availability of shared storage infrastructure by avoiding the service outages that are associated with planned activities, such as storage life-cycle management and cost/service-level optimization, thus helping you to enable an always-on IT environment. The business values of Data Motion are: - No planned downtime for: - Storage capacity expansion - Scheduled maintenance outages - Technology refresh - Improved SLA flexibility: - On-demand load balancing - Adjustable storage tiers - Application transparency: - No performance impact - Transaction integrity
The approach has been applied to several common scientific loop nests: matrix-matrix multiplication, QR-decomposition, and LU- decomposition. In addition, an illustrative example from the Livermore Loop benchmark is examined. Although more compiler time can be required in some cases, this technique produces better code at no cost for most programs."
We live in an age of rapid technological development. The Internet already affects our lives in many ways. Indeed, we continue to depend more, and more intrinsically, on the Internet, which is increasingly becoming a fundamental piece of societal infrastructure, just as water supply, electricity grids, and transportation networks have been for a long time. But while these other infrastructures are relatively static, the Internet is undergoing swift and fundamental change: Notably, the Internet is going mobile. The world has some 6.7 billion humans, 4 billion mobile phones, and 1.7 billion Internet users. The two most populous continents, Asia and Africa, have relatively low Internet penetration and hold the greatest potentials for growth. Their mobile phone users by far outnumber their Internet users, and the numbers are growing rapidly. China and India are each gaining about half a dozen million new phone users per month. Users across the globe as a whole increasingly embrace mobile Internet devices, with smart phone sales are starting to outnumber PC sales. Indeed, these and other facts suggest that the Internet stands to gain a substantial mobile component. This mega trend towards “mobile” is enabled by rapid and continuing advances in key technology areas such as mobile communication, consumer electronics, g- positioning, and computing. In short, this is the backdrop for this very timely book on moving objects by Xiaofeng Meng and Jidong Chen.
This book discusses the concepts, theory, and core technologies of intelligent theory and human animation, including video based human animation and intelligent technology of motion data management and reusing. It introduces systems developed to demonstrate the technologies of video based animation. Lively pictures and demos throughout the text help make the theory and technologies more accessible to readers.