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  1. Systematic searching : practical ideas for improving results

    • Ebog

    Systematic searching : practical ideas for improving results

    2019
    Summary: "Beginning by looking at the methods and techniques underlying systematic searching, the book then examines the current challenges and the potential solutions to more effective searching in detail, before considering the role of the information specialist as an expert searcher. Systematic Searching blends theory and practice and takes into account different approaches to information retrieval with a special focus being given to searching for complex topics in a health-related environment. The book does not presume an in-depth prior knowledge or experience of systematic searching and includes case studies, practical examples and ideas for further research and reading. The book is divided into three parts: Methods covers theoretical approaches to evidence synthesis and the implications that these have for the search process, including searching for complex topics and choosing the right sources. Technology examines new technologies for retrieving evidence and how these are leading to new directions in information retrieval and evidence synthesis. People considers the future of the information specialist as an expert searcher and explores how information professionals can develop their skills in searching, communication and collaboration to ensure that information retrieval practice is, and remains, evidence-based. Systematic Searching will be essential reading for library and information service providers and information specialists, particularly those in a health-related environment."--Provided by publisher
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    150057-ebscobog:on1081432672|980|.
    Bidrag af: 
    Carol Lefebvre, Paul Levay, Jenny Craven (1961-)
    Note: 
    Print version: Systematic searching, Foreword / Carol Lefebvre -- Introduction: where are we now? / Paul Levay, Jenny Craven -- Innovative approaches to systematic reviewing / Andrew Booth -- Searching for broad-based topics / Claire Stansfield -- Choosing the right databases and search techniques / Alison Bethel, Morwenna Rogers -- Gathering evidence from grey literature and unpublished data / Shannon Kugley, Richard Epstein -- Social media as a source of evidence / Su Golder -- Text mining for information specialists / Julie Glanville -- Using linked data for evidence synthesis / Andy Mitchell, Chris Mavergames -- Evidence surveillance to keep up to date with new research / James Thomas, Anna Noel-Storr, Steve McDonald -- Training the next generation of information specialists / Michelle Maden, Gil Young -- Collaborative working to improve searching / Siw Waffenschmidt, Elke Hauser -- Communication for information specialists / Margaret Sampson -- The information specialist as an expert searcher / Alison Brettle -- Conclusion: where do we go from here? / Paul Levay, Jenny Craven
    ISBN nr.: 
    9781783303755, 1783303751
    Udgiver: 
    Facet Publishing
    Målgruppe: 
    voksenmaterialer
    By: 
    150057-ebscobog:on1081432672|260|a
    Available: 
    150057-ebscobog:on1081432672|980|a
  2. OpenStack : building a cloud environment : learn how you can put the features of OpenStack to work in the real world in this comprehensive path : a course in three modules

    • Ebog

    OpenStack : building a cloud environment : learn how you can put the features of OpenStack to work in the real world in this comprehensive path : a course in three modules

    2016
    Summary: Learn how you can put the features of OpenStack to work in the real world in this comprehensive path About This Book Harness the abilities of experienced OpenStack administrators and architects, and run your own private cloud successfully Learn how to install, configure, and manage all of the OpenStack core projects including topics on Object Storage, Block Storage, and Neutron Networking services such as LBaaS and FWaaS Get better equipped to troubleshoot and solve common problems in performance, availability, and automation that confront production-ready OpenStack environments Who This Book Is For This course is for those who are new to OpenStack who want to learn the cloud networking fundamentals and get started with OpenStack networking. Basic understanding of Linux Operating System, Virtualization, and Networking, and Storage principles will come in handy. What You Will Learn Get an introduction to OpenStack and its components Store and retrieve data and images using storage components, such as Cinder, Swift, and Glance Install and configure Swift, the OpenStack Object Storage service, including configuring Container Replication between datacenters Gain hands on experience and familiarity with Horizon, the OpenStack Dashboard user interface Learn how to automate OpenStack installations using Ansible and Foreman Follow practical advice and examples for running OpenStack in production Fix common issues with images served through Glance and master the art of troubleshooting Neutron networking In Detail OpenStack is a collection of software projects that work together to provide a cloud fabric. Learning OpenStack Cloud Computing course is an exquisite guide that you will need to build cloud environments proficiently. This course will help you gain a clearer understanding of OpenStack's components and their interaction with each other to build a cloud environment. The first module, Learning OpenStack, starts with a brief look into the need for authentication and authorization, the different aspects of dashboards, cloud computing fabric controllers, along with 'Networking as a Service' and 'Software defined Networking'. Then, you will focus on installing, configuring, and troubleshooting different architectures such as Keystone, Horizon, Nova, Neutron, Cinder, Swift, and Glance. After getting familiar with the fundamentals and application of OpenStack, let's move deeper into the realm of OpenStack. In the second module, OpenStack Cloud Computin...
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    150057-ebscobog:ocn959983370|980|.
    Note: 
    Authors: Alok Shrivastwa and five others. Cf. Credits page
    ISBN nr.: 
    9781787129412, 9781787123182, 1787129411, 1787123189
    Udgiver: 
    Packt Publishing
    Målgruppe: 
    voksenmaterialer
    By: 
    150057-ebscobog:ocn959983370|260|a
    Available: 
    150057-ebscobog:ocn959983370|980|a
  3. Learning Ceph : a practical guide to designing, implementing, and managing your software-defined, massively scalable Ceph storage system

    • Ebog

    Learning Ceph : a practical guide to designing, implementing, and managing your software-defined, massively scalable Ceph storage system

    2015
    Summary: If you already have basic knowledge of GNU/Linux and storage systems, but have no experience of software-defined storage solutions and Ceph, and are eager to learn about it, this is the book for you. If you are looking for your next career jump as a Ceph administrator, this book is also ideal for you
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    150057-ebscobog:ocn903966657|980|.
    Bidrag af: 
    Sage Weil
    Note: 
    Erscheint auch als: Singh, Karan. Learning Ceph, Cover -- Copyright -- Credits -- Foreword -- About the Author -- About the Reviewers -- www.PacktPub.com -- Table of Contents -- Preface -- Chapter 1: Introducing Ceph Storage -- An overview of Ceph -- The history and evolution of Ceph -- Ceph releases -- Ceph and the future of storage -- Ceph as a cloud storage solution -- Ceph as a software-defined solution -- Ceph as a unified storage solution -- The next generation architecture -- Raid � end of an era -- The compatibility portfolio -- Ceph block storage -- The Ceph filesystem, Ceph object storageCeph versus others -- GPFS -- iRODS -- HDFS -- Lustre -- Gluster -- Ceph -- Summary -- Chapter 2: Ceph Instant Deployment -- Creating a sandbox environment with VirtualBox -- From zero to Ceph � deploying your first Ceph cluster -- Scaling up your Ceph cluster � monitor and OSD addition -- Adding the Ceph monitor -- Adding the Ceph OSD -- Summary -- Chapter 3: Ceph Architecture and Components -- Ceph storage architecture -- Ceph RADOS -- Ceph Object Storage Device -- The Ceph OSD filesystem -- The Ceph OSD journal, OSD commandsCeph monitors -- Monitor commands -- librados -- The Ceph block storage -- Ceph Object Gateway -- Ceph MDS -- Deploying MDS for your Ceph cluster -- The Ceph filesystem -- Summary -- Chapter 4: Ceph Internals -- Ceph under the hood -- Object -- Locating objects -- CRUSH -- The CRUSH lookup -- The CRUSH hierarchy -- Recovery and rebalancing -- Editing a CRUSH map -- Customizing a cluster layout -- Placement groups -- Calculating PG numbers -- Modifying PG and PGP -- PG peering, up and acting sets -- Ceph pools, Pool operationsCreating and listing pools -- Ceph data management -- Summary -- Chapter 5: Deploying Ceph � the Way You Should Know -- Hardware planning for a Ceph cluster -- Monitor requirements -- OSD requirements -- Network requirements -- MDS requirements -- Setting up your VirtualBox environment � again -- Preparing your Ceph installation -- Getting the software -- Getting packages -- Getting Ceph tarballs -- Getting Ceph from GitHub -- Ceph cluster manual deployment -- Installing perquisites -- Deploying the Ceph cluster, Deploying monitorsCreating OSDs -- Scaling up your cluster -- Adding monitors -- Adding OSDs -- Ceph cluster deployment using the ceph-deploy tool -- Upgrading your Ceph cluster -- Upgrading a monitor -- Upgrading OSDs -- Summary -- Chapter 6: Storage Provisioning with Ceph -- The RADOS block device -- Setting up your first Ceph client -- Mapping the RADOS block device -- Resizing Ceph RBD -- Ceph RBD snapshots -- Ceph RBD clones -- The Ceph filesystem -- Mounting CephFS with a kernel driver -- Mounting CephFS as FUSE, Includes index
    ISBN nr.: 
    9781783985630, 1783985631
    Udgiver: 
    Packt Publishing
    Målgruppe: 
    voksenmaterialer
    By: 
    150057-ebscobog:ocn903966657|260|a
    Available: 
    150057-ebscobog:ocn903966657|980|a
  4. MongoDB data modeling : focus on data usage and better design schemas with the help of MongoDB

    • Ebog

    MongoDB data modeling : focus on data usage and better design schemas with the help of MongoDB

    2015
    Summary: This book is intended for database professionals, software developers, and architects who have some previous experience with MongoDB and now want to shift their focus to the concepts of data modeling. If you wish to develop better schema designs for MongoDB-based applications, this book is ideal for you
    Emner: 
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    150057-ebscobog:ocn913880041|980|.
    Note: 
    Print version: Franca, Wilson da Rocha ; MongoDB data modeling : focus on data usage and better design schemas with the help of MongoDB, Cover; Copyright; Credits; About the Author; Acknowledgments; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introducing Data Modeling; The relationship between MongoDB and NoSQL; Introducing NoSQL (Not Only SQL); NoSQL databases types; Dynamic schema, scalability, and redundancy; Database design and data modeling; The ANSI-SPARC architecture; The external level; The conceptual level; The internal level; Data modeling; The conceptual model; The logical model; The physical model; Summary; Chapter 2: Data Modeling with MongoDB, Introducing documents and collectionsJSON; BSON; Characteristics of documents; The document size; Names and values for a field in a document; The document primary key; Support collections; The optimistic loop; Designing a document; Working with embedded documents; Working with references; Atomicity; Common document patterns; One-to-one; One-to-many; Many-to-many; Summary; Chapter 3: Querying Documents; Understanding the read operations; Selecting all documents; Selecting documents using criteria; Comparison operators; Logical operators; Element operators; Evaluation operators; Array operators, ProjectionsIntroducing the write operations; Inserts; Updates; Write concerns; Unacknowledged; Acknowledged; Journaled; Replica acknowledged; Bulk writing documents; Summary; Chapter 4: Indexing; Indexing documents; Indexing a single field; Indexing more than one field; Indexing multi-key fields; Indexing for text search; Creating special indexes; Time to live indexes; Unique indexes; Sparse indexes; Summary; Chapter 5: Optimizing Queries; Understanding the query plan; Evaluating queries; Covering a query; The query optimizer; Reading from many MongoDB instances; Summary, Chapter 6: Managing the DataOperational segregation; Giving priority to read operations; Capped collections; Data self-expiration; Summary; Chapter 7: Scaling; Scaling out MongoDB with sharding; Choosing the shard key; Basic concerns when choosing a shard key; Scaling a social inbox schema design; Fan out on read; Fan out on write; Fan out on write with buckets; Summary; Chapter 8: Logging and Real-time Analytics with MongoDB; Log data analysis; Error logs; Access logs; What we are looking for; Measuring the traffic on the web server; Designing the schema; Capturing an event request, A one-document solutionTTL indexes; Sharding; Querying for reports; Summary; Index, Includes index
    ISBN nr.: 
    9781783550586, 1783550589
    Udgiver: 
    Packt Publishing
    Målgruppe: 
    voksenmaterialer
    By: 
    150057-ebscobog:ocn913880041|260|a
    Available: 
    150057-ebscobog:ocn913880041|980|a
  5. Big data forensics--learning Hadoop investigations : perform forensic investigations on Hadoop clusters with cutting-edge tools and techniques

    • Ebog

    Big data forensics--learning Hadoop investigations : perform forensic investigations on Hadoop clusters with cutting-edge tools and techniques

    2015
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    150057-ebscobog:ocn921930861|980|.
    Note: 
    Print version: Sremack, Joe ; Big Data Forensics - Learning Hadoop Investigations, Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Starting Out with Forensic Investigations and Big Data; Computer forensics overview; The forensic process; Identification; Collection; Analysis; Presentation; Other investigation considerations; Equipment; Evidence management; Investigator training and certification; The post-investigation process; What is Big Data?; The four Vs of Big Data; Big Data architecture and concepts; Big Data forensics; Metadata preservation; Collection methods; Collection verification; Summary, Chapter 2: Understanding Hadoop Internals and ArchitectureThe Hadoop architecture; The components of Hadoop; The Hadoop Distributed File System; The Hadoop configuration files; Hadoop daemons; Hadoop data analysis tools; Hive; HBase; Pig; Managing files in Hadoop; File permissions; Trash; Log files; File compression and splitting; Hadoop SequenceFile; The Hadoop archive files; Data serialization; Packaged jobs and JAR files; The Hadoop forensic evidence ecosystem; Running Hadoop; LightHadoop; Amazon Web Services; Loading Hadoop data; Importing sample data for testing; Summary, Chapter 3: Identifying Big Data EvidenceIdentifying evidence; Locating sources of data; Compiling data requirements; Reviewing the system architecture; Interviewing staff and reviewing the documentation; Assessing data viability; Identify data sources in noncooperative situations; Data collection requirements; Data source identification; Structured and unstructured data; Data collection types; In-house or third-party collection; An investigator-led collection; The chain of custody documentation; Summary; Chapter 4: Collecting Hadoop File System Data; Forensically collecting a cluster system, Physical versus remote collectionsHDFS collections through the host operating system; Imaging the host operating system; Imaging a mounted HDFS partition; Targeted collection from a Hadoop client; The Hadoop shell command collection; Collecting HDFS files; HDFS targeted data collection; Hadoop Offline Image and Edits Viewers; Collection via Sqoop; Other HDFS collection approaches; Summary; Chapter 5: Collecting Hadoop Application Data; Application collection approaches; Backups; Query extractions; Script extractions; Software extractions; Validating application collections, Collecting Hive evidenceLoading Hive data; Identifying Hive evidence; Hive backup collection; Hive query collection; Hive query control totals; Hive metadata and log collection; The Hive script collection; Collecting HBase evidence; Loading HBase data; Identifying HBase evidence; The HBase backup collection; The HBase query collection; HBase collection via scripts; HBase control totals; HBase metadata and log collection; Collecting other Hadoop application data and non-Hadoop data; Summary; Chapter 6: Performing Hadoop File System Analysis; The forensic analysis process, Includes index
    ISBN nr.: 
    9781785288104, 9781785281211, 1785288105, 1785281216
    Udgiver: 
    Packt Publishing
    Målgruppe: 
    voksenmaterialer
    By: 
    150057-ebscobog:ocn921930861|260|a
    Available: 
    150057-ebscobog:ocn921930861|980|a
  6. Hadoop for finance essentials : harness big data to provide meaningful insights, analytics, and business intelligence for your financial institution

    • Ebog

    Hadoop for finance essentials : harness big data to provide meaningful insights, analytics, and business intelligence for your financial institution

    2015
    Annotation This book is perfect for developers, analysts, architects or managers who would like to perform big data analytics with Hadoop for the financial sector. This book is also helpful for technology professionals from other industry sectors who have recently switched or like to switch their business domain to financial sector. Familiarity with big data, Java programming, database and data warehouse, and business intelligence would be beneficial
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    150057-ebscobog:ocn910639415|980|.
    Note: 
    Print version: Tiwari, Rajiv ; Hadoop for finance essentials : harness big data to provide meaningful insights, analytics, and business intelligence for your financial institution, Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Big Data Overview; What is big data?; Data volume; Data velocity; Data variety; Big data technology evolution; History; Current; Future; Big data landscape; Storage; NoSQL; NoSQL database types; Resource management; Data governance; Batch computing; Real-time computing; Data integration tools; Machine learning; Business intelligence and virtualization; Careers in big data; Hadoop architecture; HDFS cluster; MapReduce V1; MapReduce V2 -- YARN; The Hadoop jungle explained, Big data tamedHadoop -- the hero; HDFS -- Hadoop Distributed Filesystem; MapReduce; HBase; Hive; Pig; Zookeeper; Oozie; Flume; Sqoop; Hadoop distributions; Distribution -- on premise; Distribution -- cloud; Summary; Chapter 2: Big Data in Financial Services; Big data use cases across industry sectors; Healthcare; Human science; Telecom; Online retailer; Why big data in the financial sector?; Big data use cases in the financial sector; Data archival on HDFS; Regulatory; Fraud detection; Tick data; Risk management; Customer behavior prediction; Sentiment analysis (unstructured); Other use cases, Big data evolution in financeBig data tools -- what to learn; Getting your data into HDFS; Querying data from HDFS; SQL on Hadoop; Real time; Data governance and operations; ETL tools; Data analytics and business intelligence; Big data implementations in finance; Key challenges; Overcoming the challenges; Generate interest (play area); Pilot with a low-cost project; Hadoop is live -- now scale it up; Summary; Chapter 3: Hadoop in the Cloud; The big data cloud story; The why; The when; What's the catch?; Project details -- risk simulations in the cloud; Solution; Current world; Target world, Data collectionConfiguring the Hadoop cluster; Data upload; Data transformation; Data analysis; Summary; Chapter 4: Data Migration Using Hadoop; Project details -- archive your transaction data; Solution; Project Phase 1 -- split trade data into DW and Hadoop; Current world; Target world; Data collection; How to do it; Data analysis; Project Phase 2 -- migrate data from relational DW into Hadoop; Current world; Target world; Data collection; Data analysis; Summary; Chapter 5: Getting Started; Project details -- risk and regulatory reporting; Solution; Current world; Target world; Data collection, Option 1 -- Apache OozieOption 2 -- ETL tool ingestion; Data transformation; Hive or Pig?; Hive; Pig; Java MapReduce; Data analysis; BI tools; Summary; Chapter 6: Getting Experienced; Real-time big data; Project details -- Identifying fraudulent transactions; Solution; Current world; Target world; Markov Chain Model execution (batch mode); Storm architecture; Spark architecture; Data collection; Using Storm; Using Spark; Data transformation; Using Storm; Using Spark; Summary; Chapter 7: Scale It Up; Scale it up -- actually horizontally; Few more big data use cases; Use case -- fraud again, Includes index
    ISBN nr.: 
    9781784396329, 178439632X
    Udgiver: 
    Packt Publishing
    Målgruppe: 
    voksenmaterialer
    By: 
    150057-ebscobog:ocn910639415|260|a
    Available: 
    150057-ebscobog:ocn910639415|980|a
  7. Memory systems : cache, DRAM, disk

    • Ebog

    Memory systems : cache, DRAM, disk

    2008
    Summary: Is your memory hierarchy stopping your microprocessor from performing at the high level it should be? Memory Systems: Cache, DRAM, Disk shows you how to resolve this problem. The book tells you everything you need to know about the logical design and operation, physical design and operation, performance characteristics and resulting design trade-offs, and the energy consumption of modern memory hierarchies. You learn how to to tackle the challenging optimization problems that result from the side-effects that can appear at any point in the entire hierarchy. As a result you will be able to design and emulate the entire memory hierarchy. Understand all levels of the system hierarchy -Xcache, DRAM, and disk. Evaluate the system-level effects of all design choices. Model performance and energy consumption for each component in the memory hierarchy
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    150057-ebscobog:ocn228148220|980|.
    Bidrag af: 
    Bruce Jacob, Spencer W. Ng, David T. Wang (1968-)
    Note: 
    Print version: Jacob, Bruce ; Memory systems, Overview: On the Topic of Memory Systems and Their Design Part I: Cache Ch. 1. An Overview of Cache Principles 2. Logical Organization 3. Management of Cache Contents 4. Cache Cohenrence 5. Implementation Issues 6. Cache Case Studies Part II: DRAM 7. Memory Systems Overview 8. DRAM Device: Basic Circuits and Architecture 9. DRAM System Signalling and Timing 10. DRAM Memory System Organization 11. Generic DRAM Memory Access Protocol 12. Evolution of DRAM Devices 13. DRAM Memory Controller 14. Memory System Design Analysis Part II: Disk 15. Overview of Disks 16. The Physical Layer 17. The Data Layer 18. Performance Issues and Design Tradeoffs 19. Drive Interface 20. Operational Performance Improvement 21. The Cache Layer, 23. Performance Testing 24. Storage Subsystems 25. Advanced Topics 26. Case Study Part IV: Cross-Cutting Issues 27. The Holistic Design of Memory Hierarchies 28. Analysis of Cost and Performance 29. Power and Energy 30. Reliability 31. Virtual Memory
    ISBN nr.: 
    9786611766450, 9781322465548, 9781281766458, 9780123797513, 9780080553849, 6611766456, 1322465541, 1281766453, 0123797519, 0080553842
    Udgiver: 
    Morgan Kaufmann Publishers
    Målgruppe: 
    voksenmaterialer
    By: 
    150057-ebscobog:ocn228148220|260|a
    Available: 
    150057-ebscobog:ocn228148220|980|a
  8. Human information retrieval

    • Ebog

    Human information retrieval

    2010
    Julian Warner offers a comprehensive overview of information retrieval, synthesizing theories from different disciplines and incorporating such disparate systems as WorldCat and Google into a single, robust theoretical framework
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    150057-ebscobog:ocn505268147|980|.
    Note: 
    Print version: Warner, Julian, 1955- ; Human information retrieval, Introduction -- Selection power and selection labor -- Description and search labor -- A labor theoretic approach -- Retrieval from full text -- A semantics for retrieval from full text -- A syntactics for retrieval from full text -- Semantics and syntactics for retrieval from full text -- Conclusion
    ISBN nr.: 
    9781282694804, 9780262259262, 9780262013444, 1282694804, 0262259265, 0262013444
    Udgiver: 
    MIT Press
    Målgruppe: 
    voksenmaterialer
    By: 
    150057-ebscobog:ocn505268147|260|a
    Available: 
    150057-ebscobog:ocn505268147|980|a
  9. Introduction to computer data representation

    • Ebog

    Introduction to computer data representation

    2013
    Summary: Introduction to Computer Data Representation introduces readers to the representation of data within computers. Starting from basic principles of number representation in computers, the book covers the representation of both integer and floating point numbers, and characters or text. It comprehensively explains the main techniques of computer arithmetic and logical manipulation. The book also features chapters covering the less usual topics of basic checksums and 'universal' or variable length representations for integers, with additional coverage of Gray Codes, BCD codes and logarithmic repre
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    150057-ebscobog:ocn879377351|980|.
    Note: 
    Print version: Fenwick, Peter ; Introduction to Computer Data Representation, Cover; Title; EUL; Dedication; Contents; Foreword; Preface; Introduction; Chapter 01; Chapter 02; Chapter 03; Chapter 04; Chapter 05; Chapter 06; Chapter 07; Chapter 08; Chapter 09; Chapter 10; Chapter 11; Chapter 12; Bibliography; Index
    ISBN nr.: 
    9781608058822, 1608058824
    Udgiver: 
    Bentham Science Publishers
    Målgruppe: 
    voksenmaterialer
    By: 
    150057-ebscobog:ocn879377351|260|a
    Available: 
    150057-ebscobog:ocn879377351|980|a
  10. High density data storage : principle, technology, and materials

    • Ebog

    High density data storage : principle, technology, and materials

    2009
    Summary: The explosive increase in information and the miniaturization of electronic devices demand new recording technologies and materials that combine high density, fast response, long retention time and rewriting capability. As predicted, the current silicon-based computer circuits are reaching their physical limits. Further miniaturization of the electronic components and increase in data storage density are vital for the next generation of IT equipment such as ultra high-speed mobile computing, communication devices and sophisticated sensors. This original book presents a comprehensive introduction to the significant research achievements on high-density data storage from the aspects of recording mechanisms, materials and fabrication technologies, which are promising for overcoming the physical limits of current data storage systems. The book serves as a useful guide for the development of optimized materials, technologies and device structures for future information storage, and will lead readers to the fascinating world of information technology in the future
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    150057-ebscobog:ocn608624757|980|.
    Bidrag af: 
    Yanlin Song, Daoben Zhu
    Note: 
    Available in another form, Available in another form, ch. 1. High density magnetic data storage / Huimeng Wu, Li Zhang and Yanlin Song -- ch. 2. Optical data storage for the future / Wenfang Yuan and Yanlin Song -- ch. 3. High density electrical data storage / Guiyuan Jiang and Yanlin Song -- ch. 4. Nanoscale data storage / Jianchang Li and Yanlin Song
    ISBN nr.: 
    9789812834706, 9781613440520, 9812834702, 1613440529
    Udgiver: 
    World Scientific
    Målgruppe: 
    voksenmaterialer
    By: 
    150057-ebscobog:ocn608624757|260|a
    Available: 
    150057-ebscobog:ocn608624757|980|a