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  • 1
    UID:
    gbv_1844914089
    Format: 1 Online-Ressource (xvi, 315 Seiten) , Illustrationen, Diagramme
    Edition: 1st edition
    ISBN: 9781804612651
    Content: While it is easy to learn and understand the Cypher declarative language for querying graph databases, it can be very difficult to master it. As graph databases are becoming more mainstream, there is a dearth of content and guidance for developers to leverage database capabilities fully. This book fills the information gap by describing graph traversal patterns in a simple and readable way. This book provides a guided tour of Cypher from understanding the syntax, building a graph data model, and loading the data into graphs to building queries and profiling the queries for best performance. It introduces APOC utilities that can augment Cypher queries to build complex queries. You’ll also be introduced to visualization tools such as Bloom to get the most out of the graph when presenting the results to the end users. After having worked through this book, you’ll have become a seasoned Cypher query developer with a good understanding of the query language and how to use it for the best performance.
    Note: Includes bibliographical references and index , Mode of access: World Wide Web.
    Additional Edition: ISBN 9781804611074
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    [Place of publication not identified] :Packt Publishing,
    UID:
    almahu_9949576473002882
    Format: 1 online resource (332 pages)
    Edition: 1st ed.
    ISBN: 9781804611074 , 9781804612651
    Content: While it is easy to learn and understand the Cypher declarative language for querying graph databases, it can be very difficult to master it. As graph databases are becoming more mainstream, there is a dearth of content and guidance for developers to leverage database capabilities fully. This book fills the information gap by describing graph traversal patterns in a simple and readable way. This book provides a guided tour of Cypher from understanding the syntax, building a graph data model, and loading the data into graphs to building queries and profiling the queries for best performance. It introduces APOC utilities that can augment Cypher queries to build complex queries. You'll also be introduced to visualization tools such as Bloom to get the most out of the graph when presenting the results to the end users. After having worked through this book, you'll have become a seasoned Cypher query developer with a good understanding of the query language and how to use it for the best performance.
    Note: Graph data processing with cypher : A practical guide to building graph traversal queries using the Cypher syntax on Neo4j -- Contributors -- Table of Contents -- Preface -- Part 1: Cypher Introduction -- Chapter 1: Introduction to Neo4j and Cypher -- Chapter 2: Components of Cypher -- Part 2: Working with Cypher -- Chapter 3: Loading Data with Cypher -- Chapter 4: Querying Graph -- Chapter 5: Filtering, Sorting, and Aggregations -- Chapter 6: List Expressions, UNION, and Subqueries -- Part 3: Advanced Cypher Concepts -- Chapter 7: Working with Lists and Maps -- Chapter 8: Advanced Query Patterns -- Chapter 9: Query Tuning -- Chapter 10: Using APOC Utilities -- Chapter 11: Cypher Ecosystemc -- Chapter 12: Tips and Tricks -- Index -- Other Books You May Enjoy. , Mode of access: World Wide Web.
    Language: English
    Keywords: Electronic books.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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