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  • 1
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Distributed databases ; Database management ; Open source software ; Electronic books ; Electronic books ; local
    Abstract: In this lesson, you'll learn how to design data models for Cassandra, including a data modeling process and notation. To apply this knowledge, we'll design the data model for a sample application. This will help show how all the parts fit together. Along the way, we'll use a tool to help us manage our CQL (Cassandra Query Language) scripts. What you'll learn-and how you can apply it You will learn common patterns and antipatterns for data modeling in Cassandra. This lesson will cover the concepts around data modeling and will compare a Cassandra data model with an equivalent relational database model. You'll learn about defining queries and about logical and physical database modeling. You'll learn how to optimize your model for performance, and finally you'll learn how to implement your model schema using CQL. This lesson is for you because... You are an application developer or architect who wants to learn how data is stored and processed in Cassandra. You are a database administrator who wants to learn about Cassandra. Prerequisites Helpful but not essential to have a basic understanding of relational vs. distributed databases. Helpful but not essential to understand Cassandra Query Language, CQL. Materials or downloads needed in advance None
    Note: Date of publication from resource description page. - "From Cassandra : the definitive guide, 2nd edition, by Jeff Carpenter & Eben Hewitt"--Cover. - Description based on online resource; title from title page (Safari, viewed January 11, 2017)
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  • 2
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly
    Language: English
    Pages: 1 online resource (1 volume)
    Keywords: Distributed databases ; Database management ; Open source software ; Electronic books ; Electronic books ; local
    Abstract: In this lesson, we look at how to tune Cassandra to improve performance. There are a variety of settings in the configuration file and on individual tables. Although the default settings are appropriate for many use cases, there might be circumstances in which you need to change them. We'll look at how and why to make these changes. We also see how to use the cassandra-stress test tool that ships with Cassandra to generate load against Cassandra and quickly see how it behaves under stress test circumstances. We can then tune Cassandra appropriately and feel confident that we're ready to deploy to a production environment. What you'll learn-and how you can apply it You'll learn how to monitor and analyze Cassandra performance. You'll learn about Cassandra features such as caching, memtables, commit logs, SStables, hinted handoff, compaction, and threading to improve responsiveness, consistency, and speed and reduce data loss. We'll also look at timeout properties and JVM settings. This lesson is for you because... You are a developer, database administrator, or architect who wants to learn how to tune Cassandra. Prerequisites Understanding of Cassandra architecture and data model. If you want to run cassandra-stress Cassandra installed with a running Cassandra cluster. Materials or downloads needed A Cassandra cluster if you want to run cassandra-stress
    Note: Date of publication from resource description page. - "From Cassandra : the definitive guide, 2nd edition, by Jeff Carpenter & Eben Hewitt"--Cover. - Description based on online resource; title from title page (Safari, viewed January 11, 2017)
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (430 pages)
    Edition: 1st edition
    Keywords: Electronic books
    Abstract: Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This revised third edition--updated for Cassandra 4.0 and new developments in the Cassandra ecosystem, including deployments in Kubernetes with K8ssandra--provides technical details and practical examples to help you put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra's nonrelational design, with special attention to data modeling. Developers, DBAs, and application architects looking to solve a database scaling issue or future-proof an application will learn how to harness Cassandra's speed and flexibility. Understand Cassandra's distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh (the CQL shell) Create a working data model and compare it with an equivalent relational model Design and develop applications using client drivers Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra onsite, in the cloud, or with Docker and Kubernetes Integrate Cassandra with Spark, Kafka, Elasticsearch, Solr, and Lucene
    Note: Online resource; Title from title page (viewed January 28, 2022) , Mode of access: World Wide Web.
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  • 4
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (331 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: With this practical book, architects, CTOs, and CIOs will learn a set of patterns for the practice of architecture, including analysis, documentation, and communication. Author Eben Hewitt shows you how to create holistic and thoughtful technology plans, communicate them clearly, lead people toward the vision, and become a great architect or Chief Architect. This book covers each key aspect of architecture comprehensively, including how to incorporate business architecture, information architecture, data architecture, application (software) architecture together to have the best chance for the system’s success. Get a practical set of proven architecture practices focused on shipping great products using architecture Learn how architecture works effectively with development teams, management, and product management teams through the value chain Find updated special coverage on machine learning architecture Get usable templates to start incorporating into your teams immediately Incorporate business architecture, information architecture, data architecture, and application (software) architecture together
    Note: Online resource; Title from title page (viewed October 2, 2019)
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  • 5
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 9 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Audiobooks ; local
    Abstract: Technologists who want their ideas heard, understood, and funded are often told to speak the language of business—without really knowing what that is. This book’s toolkit provides architects, product managers, technology managers, and executives with a shared language—in the form of repeatable, practical patterns and templates—to produce great technology strategies. Author Eben Hewitt developed 39 patterns over the course of a decade in his work as CTO, CIO, and chief architect for several global tech companies. With these proven tools, you can define, create, elaborate, refine, and communicate your architecture goals, plans, and approach in a way that executives can readily understand, approve, and execute. This book covers: Architecture and strategy: Adopt a strategic architectural mindset to make a meaningful material impact Creating your strategy: Define the components of your technology strategy using proven patterns Communicating the strategy: Convey your technology strategy in a compelling way to a variety of audiences Bringing it all together: Employ patterns individually or in clusters for specific problems; use the complete framework for a comprehensive strategy
    Note: Online resource; Title from title screen (viewed October 31, 2019)
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  • 6
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (66 pages)
    Edition: 3rd edition
    Keywords: Electronic books ; local
    Abstract: Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This third edition—updated for Cassandra 4.0—provides the technical details and practical examples you need to put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra’s nonrelational design, with special attention to data modeling. If you’re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandra’s speed and flexibility. Understand Cassandra’s distributed and decentralized structure Use the Cassandra Query Language (CQL) and cqlsh—the CQL shell Create a working data model and compare it with an equivalent relational model Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data
    Note: Online resource; Title from title page (viewed July 25, 2020)
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  • 7
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : GoTop Information, Inc. | Boston, MA : Safari
    ISBN: 9789864764723
    Language: English , Chinese
    Pages: 1 online resource (360 pages)
    Edition: 2nd edition
    Keywords: Electronic books ; local
    Abstract: 想像如果擴展性不是問題,您可以做什麼?透過這本實踐指南,您將了解如何應用Cassandra資料庫管理系統處理數百兆位元組的資料,在跨資料中心的同時還保有高可用性,以及許多您在實務運作時必須了解的技術細節與實作範例。 本書將告訴您Cassandra非關聯式資料庫設計的優點,並且特別著重於資料模型的建立。如果您是正在尋求具有擴展性或是前瞻架構解決方案的開發者、資料庫管理人員或架構師,這本指南可以協助您駕馭Cassandra的速度與彈性。 .了解Cassandra的分散式與去中心化概念 .使用Cassandra查詢語言(CQL)與cqlsh(CQL shell) .建立有效的資料模型並與關聯式模型比較 .使用各種不同語言的客戶端驅動開發範例應用程式,包含Java、Python與Node.js .探索叢集拓譜與學習節點間的互動機制 .維護高效能的叢集 .在機房、雲端或Docker容器佈署Cassandra .整合Cassandra與Spark、Hadoop、ElasticSearch、Solr與Lucene 專家推薦 “本書將會告訴你為何與如何在應用程式中使用Cassandra建立令人驚嘆的成功案例” — Patrick McFadin, Apache Cassandra首席佈道師
    Note: Online resource; Title from title page (viewed August 3, 2017) , Mode of access: World Wide Web.
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  • 8
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 49 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Eben Hewitt (Sabre) shares a holistic approach to enterprise architecture that explains how to bring business architecture, information architecture, data architecture, application architecture, and infrastructure architecture together into a comprehensive design. Eben also demonstrates how to incorporate design thinking principles and work effectively with Agile teams, how architecture can work together with development teams and product management teams, and how to usher your architecture successfully through the value chain. You'll leave with a practical set of architecture practices that will help you create winning technical architectural designs and communicate them effectively, along with a set of usable templates you can start using immediately to achieve success in your organization.
    Note: Online resource; Title from title screen (viewed December 31, 2019)
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  • 9
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Distributed databases ; Database management ; Open source software ; Electronic books ; Electronic books ; local
    Abstract: Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This expanded second edition-updated for Cassandra 3.0-provides the technical details and practical examples you need to put this database to work in a production environment.
    Note: Description based on online resource; title from title page (viewed July 11, 2016)
    Library Location Call Number Volume/Issue/Year Availability
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  • 10
    Online Resource
    Online Resource
    North Sebastopol, Calif. : O'Reilly
    ISBN: 9781449399764 , 1449399762
    Language: English
    Pages: 1 online resource (xxiii, 301 p.) , ill.
    Parallel Title: Erscheint auch als
    Keywords: Apache Cassandra (Computer system) ; Database management ; Computer programs ; Electronic books ; local
    Abstract: What could you do with data if scalability wasn't a problem? With this hands-on guide, you'll learn how Apache Cassandra handles hundreds of terabytes of data while remaining highly available across multiple data centers -- capabilities that have attracted Facebook, Twitter, and other data-intensive companies. Cassandra: The Definitive Guide provides the technical details and practical examples you need to assess this database management system and put it to work in a production environment. Author Eben Hewitt demonstrates the advantages of Cassandra's nonrelational design, and pays special attention to data modeling. If you're a developer, DBA, application architect, or manager looking to solve a database scaling issue or future-proof your application, this guide shows you how to harness Cassandra's speed and flexibility. Understand the tenets of Cassandra's column-oriented structure Learn how to write, update, and read Cassandra data Discover how to add or remove nodes from the cluster as your application requires Examine a working application that translates from a relational model to Cassandra's data model Use examples for writing clients in Java, Python, and C# Use the JMX interface to monitor a cluster's usage, memory patterns, and more Tune memory settings, data storage, and caching for better performance
    Note: Includes bibliographical references and index. - Description based on print version record
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