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This book looks at various application and data demand drivers, along with data infrastructure options from legacy on premise, public cloud, hybrid, software-defined data center (SDDC), software data infrastructure (SDI), container as well as serverless along with infrastructure as a Service (IaaS), IT as a Service (ITaaS) along with related technology, trends, tools, techniques and strategies. Filled with example scenarios, tips and strategy considerations, the book covers frequently asked questions and answers to aid strategy as well as decision-making.
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Deep dive into the unified, distributed storage system in order to provide excellent performance About This Book Leverage Ceph's advanced features such as erasure coding, tiering, and Bluestore Solve large-scale problems with Ceph as a tool by understanding its strengths and weaknesses to develop the best solutions A practical guide that covers engaging use cases to help you use advanced features of Ceph effectively Who This Book Is For If you are a developer and an administrator who has deployed a Ceph cluster before and are curious about some of the most advanced features in order to improve performance then this book is for you What You Will Learn Know when and how to use some of Ceph's advanced new features Set up a test cluster with Ansible and some virtual machines using VirtualBox and Vagrant Develop novel solutions to massive problems with librados and shared object classes. Choose intelligent parameters for an erasure coded pool and set it up. Configure the Bluestore settings and see how they interact with different hardware configurations. Keep Ceph running through thick and thin with tuning, monitoring and disaster recovery advice. In Detail Mastering Ceph covers all that you need to know to use Ceph effectively. Starting with design goals and planning steps that should be undertaken to ensure successful deployments, you will be guided through to setting up and deploying the Ceph cluster, with the help of orchestration tools. Key areas of Ceph including Bluestore, Erasure coding and cache tiering will be covered with help of examples. Development of applications which use Librados and Distributed computations with shared object classes are also covered. A section on tuning will take you through the process of optimisizing both Ceph and its supporting infrastructure. Finally, you will learn to troubleshoot issues and handle various scenarios where Ceph is likely not to recover on its own. By the end of the book, you will be able to successfully deploy and operate a resilient high performance Ceph cluster. Style and Approach A practical guide which has each chapter explaining the concept, sharing tips and tricks and a use case to implement the most powerful features of Ceph
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Information retrieval --- Data mining --- Information storage and retrieval systems
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Systems engineering --- Information storage and retrieval systems --- Web databases
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Reviews research on the design and evaluation of search user interfaces of the past 10 years. It integrates state-of-the-art research in the areas of information seeking behavior, information retrieval, and human-computer interaction on the topic of search interface.
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"With the digitization of the entire world, the data gets generated at a fast pace. Extracting and retrieving useful information and patterns becomes challenging as information is not always in structured form. Therefore, there is a need for the design and development of Hybrid Intelligent Information Retrieval System. Broadly four approaches are covered in this book for design and development of Intelligent Information Retrieval: 1. Evolutionary approach for optimal Information Retrieval, 2. Novel Matching functions for Information Retrieval, 3. Natural Language Processing for Modern Information Retrieval 4. Development of Semantically enhanced Web Information Retrieval"--
Soft computing. --- Information storage and retrieval systems. --- Hybrid computers.
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Names. --- Medicine --- Information storage and retrieval systems --- Nosology. --- Medicine
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