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Jim Webber

    Graph Databases 2e
    REST in practice
    An Alternate Pragmatism for Going Public
    • An Alternate Pragmatism for Going Public

      • 192pages
      • 7 heures de lecture
      3,0(2)Évaluer

      "A critique of the composition field's engagement with education reform, particularly the practice of "reframing." Reframing is a pragmatic argument establishing or appealing to the professional authority of scholars in an effort to make that professional judgment more persuasive to publics, such as legislators and other policymakers"--Provided by publisher.

      An Alternate Pragmatism for Going Public
    • REST in practice

      • 448pages
      • 16 heures de lecture
      3,9(398)Évaluer

      Why don't typical enterprise projects go as smoothly as projects you develop for the Web? Does the REST architectural style really present a viable alternative for building distributed systems and enterprise-class applications? In this insightful book, three SOA experts provide a down-to-earth explanation of REST and demonstrate how you can develop simple and elegant distributed hypermedia systems by applying the Web's guiding principles to common enterprise computing problems. You'll learn techniques for implementing specific Web technologies and patterns to solve the needs of a typical company as it grows from modest beginnings to become a global enterprise.

      REST in practice
    • Graph Databases 2e

      • 218pages
      • 8 heures de lecture
      3,6(26)Évaluer

      Discover how graph databases can help you manage and query highly connected data. With this practical book, you'll learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains. Whether you want to speed up your response to user queries or build a database that can adapt as your business evolves, this book shows you how to apply the schema-free graph model to real-world problems. This second edition includes new code samples and diagrams, using the latest Neo4j syntax, as well as information on new functionality. Learn how different organizations are using graph databases to outperform their competitors. With this book's data modeling, query, and code examples, you'll quickly be able to implement your own solution. Model data with the Cypher query language and property graph model Learn best practices and common pitfalls when modeling with graphs Plan and implement a graph database solution in test-driven fashion Explore real-world examples to learn how and why organizations use a graph database Understand common patterns and components of graph database architecture Use analytical techniques and algorithms to mine graph database information

      Graph Databases 2e