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Graph Data Processing with Cypher : A Practical Guide to Building Graph Traversal Queries Using the Cypher Syntax on Neo4j /

Get acquainted with Cypher in a guided manner quickly and learn how to query the graph databases with efficient and performant queries Key Features Work with Cypher syntax and semantics while building graph traversal queries Get up and running with advanced Cypher concepts like List, Maps, OPTIONAL...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Anthapu, Ravindranatha (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, Limited, 2022.
Edición:1st edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright and credit
  • Contributors
  • Table of Contents
  • Preface
  • Part 1: Cypher Introduction
  • Chapter 1: Introduction to Neo4j and Cypher
  • Technical requirements
  • Introducing Neo4j and graph database concepts
  • Understanding nodes in graphs
  • Understanding relationships in graphs
  • Cypher
  • Installing Neo4j Desktop
  • Downloading Neo4j Desktop
  • A visual tour of Neo4j Desktop
  • Projects menu
  • DBMSs menu
  • Graph applications
  • Help menu
  • Settings menu
  • Using Neo4j Desktop
  • Creating a local DBMS
  • Managing a local DBMS instance
  • Working with a local DBMS
  • Starting the instance
  • Opening the browser
  • Working with the browser's UI
  • Working with additional options to manage local DBMS
  • Summary
  • Chapter 2: Components of Cypher
  • Technical requirements
  • Graph storage in Neo4j
  • Using the Cypher syntax
  • Property types
  • Structural types
  • Composite types
  • Using the nodes syntax
  • Using the relationships syntax
  • Working with Cypher keywords
  • Using MATCH and OPTIONAL MATCH
  • Using CREATE and DELETE
  • SET and REMOVE
  • Using WHERE, SKIP, LIMIT, and ORDER BY
  • Using MERGE
  • Using FOREACH
  • Using UNWIND
  • Using UNION and UNION ALL
  • Using indexes and constraints
  • Summary
  • Part 2: Working with Cypher
  • Chapter 3: Loading Data with Cypher
  • Before loading the data
  • Graph data modeling
  • Loading data with LOAD CSV
  • LOAD CSV without headers
  • LOAD CSV with headers
  • Loading data with LOAD CSV using batching
  • USING PERIODIC COMMIT
  • CALL IN TRANSACTIONS
  • Loading data using client drivers
  • URI schemes
  • Neo4j sessions
  • Mapping the source data to graph
  • Loading the patient data
  • Loading the encounter data
  • Loading provider data
  • Loading organization data
  • Loading medication data
  • Loading condition, procedure, and allergy data
  • Loading care plan data
  • Using client drivers
  • Summary
  • Chapter 4: Querying Graph
  • Exploring the data in Graph
  • Querying the nodes
  • Querying the paths
  • Summary
  • Chapter 5: Filtering, Sorting, and Aggregations
  • Filtering with node labels and relationship types
  • Filtering with WHERE and WITH clauses
  • Sorting data using the ORDER BY clause
  • Working with aggregations
  • Summary
  • Chapter 6: List Expressions, UNION, and Subqueries
  • Working with list expressions
  • Working with the range function
  • Working with the head function
  • Working with the tail function
  • Working with the last function
  • Working with the size function
  • Working with the reverse function
  • Working with the reduce function
  • Working with list comprehensions
  • Working with UNION in Cypher
  • Working with subqueries
  • Working with returning subqueries
  • Working with unit subqueries
  • Summary
  • Part 3: Advanced Cypher Concepts
  • Chapter 7: Working with Lists and Maps
  • Working with lists
  • Working with basic list capabilities
  • Working with list operators
  • Revisiting the list functions