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  • 1
    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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  • 2
    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)
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    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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  • 4
    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.
    Library Location Call Number Volume/Issue/Year Availability
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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 (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)
    Library Location Call Number Volume/Issue/Year Availability
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