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  • 1
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Information technology ; Management ; Information technology projects ; Software architecture ; Strategic planning ; Communication and technology ; Electronic books ; Electronic books ; 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: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed November 8, 2018)
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  • 2
    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)
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  • 3
    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)
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  • 4
    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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  • 5
    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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