The spiraling growth of digital information makes the ISM book a "must have" addition to your IT reference library. This exponential growth has driven information management technology to new levels of sophistication and complexity, exposing a skills gap that challenge IT managers and professionals alike. The ISM book, written by storage professionals from EMC Corporation, takes an ‘open’ approach to teaching information storage and management, focusing on concepts and principles – rather that product specifics – that can be applied in all IT environments The book enables existing and aspiring IT professionals, students, faculty, and those simply wishing to gain deeper insight to this emerging pillar of IT infrastructure to achieve a comprehensive understanding of all segments of information storage technology. Sixteen chapters are organized into four sections. Advanced topics build upon the topics learned in previous chapters. Section 1, "Information Storage and Management for Today’s World": Four chapters cover information growth and challenges, define a storage system and its environment, review the evolution of storage technology, and introduce intelligent storage systems. Section 2, "Storage Options and Protocols": Six chapters cover the SCSI and Fibre channel architecture, direct-attached storage (DAS), storage area networks (SANs), network-attached storage (NAS), Internet Protocol SAN (IP-SAN), content-addressed storage (CAS), and storage virtualization. Section 3, "Business Continuity and Replication": Four chapters introduce business continuity, backup and recovery, local data replication, and remote data replication. Section 4, "Security and Administration": Two chapters cover storage security and storage infrastructure monitoring and management. The book’s supplementary web site provides up-to-date information on additional learning aids and storage certification opportunities.

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.

This book discusses and develops models intended for the reader as a starting point in conceptulizing, planning, integrating, and managing storage capabilities in a distributed environment.

We overspend on data center storage ... yet, we fall short of business requirements. It's not about the technologies. It's about the proper application of technologies to deliver storage services efficiently and affordably. It's about meeting business requirements dependent on data center storage. Spend less, deliver more. Data Center Storage: Cost-Effective Strategies, Implementation, and Management provides an industry insider's insight on how to properly scope, plan, evaluate, and implement storage technologies to maximize performance, capacity, reliability, and power savings. It provides business and use-case focused coverage of storage technology, including storage area networks (SAN), capacity-optimized drives, and solid-state drives. It offers key insights on financially responsible spending for data center storage. Delivered in accessible language, the book starts with a discussion of the business merits of replacing direct attached, compartmentalized storage with consolidated SAN-attached storage. The author advises on the use of service level applications (SLAs) as a tool to drive business unit collaboration with IT and prioritize those actions that impact productivity and profit from those that are less critical. This business guide to applied technologies disassembles big problems into digestible segments to help you understand, quantify, and fix any problems that arise as you work towards meeting your growing storage needs. The book builds on the consolidation and SLA driven approach to take advantage of the compelling benefits and potential savings of managed hosting and cloud storage.

Information Management: Gaining a Competitive Advantage with Data is about making smart decisions to make the most of company information. Expert author William McKnight develops the value proposition for information in the enterprise and succinctly outlines the numerous forms of data storage. Information Management will enlighten you, challenge your preconceived notions, and help activate information in the enterprise. Get the big picture on managing data so that your team can make smart decisions by understanding how everything from workload allocation to data stores fits together. The practical, hands-on guidance in this book includes: - Part 1: The importance of information management and analytics to business, and how data warehouses are used - Part 2: The technologies and data that advance an organization, and extend data warehouses and related functionality - Part 3: Big Data and NoSQL, and how technologies like Hadoop enable management of new forms of data - Part 4: Pulls it all together, while addressing topics of agile development, modern business intelligence, and organizational change management Read the book cover-to-cover, or keep it within reach for a quick and useful resource. Either way, this book will enable you to master all of the possibilities for data or the broadest view across the enterprise. - Balances business and technology, with non-product-specific technical detail - Shows how to leverage data to deliver ROI for a business - Engaging and approachable, with practical advice on the pros and cons of each domain, so that you learn how information fits together into a complete architecture - Provides a path for the data warehouse professional into the new normal of heterogeneity, including NoSQL solutions

Storage Management in Data Centers helps administrators tackle the complexity of data center mass storage. It shows how to exploit the potential of Veritas Storage Foundation by conveying information about the design concepts of the software as well as its architectural background. Rather than merely showing how to use Storage Foundation, it explains why to use it in a particular way, along with what goes on inside. Chapters are split into three sections: An introductory part for the novice user, a full-featured part for the experienced, and a technical deep dive for the seasoned expert. An extensive troubleshooting section shows how to fix problems with volumes, plexes, disks and disk groups. A snapshot chapter gives detailed instructions on how to use the most advanced point-in-time copies. A tuning chapter will help you speed up and benchmark your volumes. And a special chapter on split data centers discusses latency issues as well as remote mirroring mechanisms and cross-site volume maintenance. All topics are covered with the technical know how gathered from an aggregate thirty years of experience in consulting and training in data centers all over the world.

Índice abreviado: 1. DTSE in programmable architectures 2. Related compiler work on data transfer and storage management 3. Global loop transformations 4. System-level storage requirement estimation 5. Automated data reuse exploration techniques 6. Storage cycle budget distribution 7. Cache optimization 8. Demonstrator designs 9. Conclussions and future work.

The worldwide market for SAN and NAS storage is anticipated to grow from US $2 billion in 1999 to over $25 billion by 2004. As business-to-business and business-to-consumer e-commerce matures, even greater demands for management of stored data will arise. With the rapid increase in data storage requirements in the last decade, efficient management of stored data becomes a necessity for the enterprise. A recent UC-Berkeley study predicts that 150,000 terabytes of disk storage will be shipped in 2003. Most financial, insurance, healthcare, and telecommunications institutions are in the process of implementing storage networks that are distributed to some degree. For these institutions, data integrity is critical, and they will spend much time and money on planning. One of the primary obstacles to implementing a storage network cited by enterprise IT managers is a lack of knowledge about storage networking technology and the specific issues involved in extending a Storage Area Network (SAN) or Network Attached Storage (NAS) over the Metropolitan Area Networks (MAN) or Wireless Area Networks (WAN). Distributed Storage Networks : Architecture, Protocols and Management addresses the "terminology gap" between enterprise network planners and telecommunications engineers, who must understand the transport requirements of storage networks in order to implement distributed storage networks. Jepsen comprehensively provides IT managers, planners, and telecommunications professionals with the information they need in order to choose the technologies best suited for their particular environment. * Addresses a hot topic that will become increasingly important in the coming years * Enables high-level managers and planners to make intelligent decisions about network needs. * Includes example network configurations providing solutions to typical user scenarios * Fills the "terminology gap" between enterprise network managers and telecommunications engineers who must understand the transport requirements of storage networks in order to implement distributed storage area networks A fundamental resource for all network managers, planners and network design engineers, as well as telecommunications engineers and engineering, computer science, and information technology students.

A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data. Researchers in all disciplines are faced with the challenge of managing the growing amounts of digital data that are the foundation of their research. Kristin Briney offers practical advice and clearly explains policies and principles, in an accessible and in-depth text that will allow researchers to understand and achieve the goal of better research data management. Data Management for Researchers includes sections on: * The data problem – an introduction to the growing importance and challenges of using digital data in research. Covers both the inherent problems with managing digital information, as well as how the research landscape is changing to give more value to research datasets and code. * The data lifecycle – a framework for data’s place within the research process and how data’s role is changing. Greater emphasis on data sharing and data reuse will not only change the way we conduct research but also how we manage research data. * Planning for data management – covers the many aspects of data management and how to put them together in a data management plan. This section also includes sample data management plans. * Documenting your data – an often overlooked part of the data management process, but one that is critical to good management; data without documentation are frequently unusable. * Organizing your data – explains how to keep your data in order using organizational systems and file naming conventions. This section also covers using a database to organize and analyze content. * Improving data analysis – covers managing information through the analysis process. This section starts by comparing the management of raw and analyzed data and then describes ways to make analysis easier, such as spreadsheet best practices. It also examines practices for research code, including version control systems. * Managing secure and private data – many researchers are dealing with data that require extra security. This section outlines what data falls into this category and some of the policies that apply, before addressing the best practices for keeping data secure. * Short-term storage – deals with the practical matters of storage and backup and covers the many options available. This section also goes through the best practices to insure that data are not lost. * Preserving and archiving your data – digital data can have a long life if properly cared for. This section covers managing data in the long term including choosing good file formats and media, as well as determining who will manage the data after the end of the project. * Sharing/publishing your data – addresses how to make data sharing across research groups easier, as well as how and why to publicly share data. This section covers intellectual property and licenses for datasets, before ending with the altmetrics that measure the impact of publicly shared data. * Reusing data – as more data are shared, it becomes possible to use outside data in your research. This chapter discusses strategies for finding datasets and lays out how to cite data once you have found it. This book is designed for active scientific researchers but it is useful for anyone who wants to get more from their data: academics, educators, professionals or anyone who teaches data management, sharing and preservation. "An excellent practical treatise on the art and practice of data management, this book is essential to any researcher, regardless of subject or discipline." —Robert Buntrock, Chemical Information Bulletin

Core Data is Apple's recommended way to persist data: it's easy to use, built-in, and integrated with iCloud. It's intricate, powerful, and necessary--and this book is your guide to harnessing its power. Learn fundamental Core Data principles such as thread and memory management, discover how to use Core Data in your iPhone, iPad, and OS X projects by using NSPredicate to filter data, and see how to add iCloud to your applications. Cocoa expert Marcus Zarra walks you through developing a full-featured application based around the Core Data APIs. You'll build up a single application throughout the book, learning key Core Data principles such as NSPredicate, thread management, and memory management. Geared toward intermediate to advanced developers, this book gets you comfortable with the basics of Core Data. Then you'll delve deep into the details of the API. You'll explore not only how to get Core Data integrated into your application properly, but even better, how to work with the API's flexibility to create convenience methods to improve your application's maintainability. Learn how to reduce your number of mapping models, integrate your Core Data app with Spotlight and Quick Look, connect your application with sync services, and find out how to use Core Data in a multithreaded environment. By the end of the book, you'll have built a full-featured application, gained a complete understanding of Core Data, and learned how to integrate your application into the iPhone/iPad platform. This second edition updates all examples for OS X Mountain Lion and iOS 6, gets you up to speed on changes in multithreading, and provides new chapters covering iCloud and NSFetchedResultsController. What You NeedMac OS X Mountain Lion and iOS 6. This book is for intermediate-level iOS developers.