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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| 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) |
MARC
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| 037 | |a 9781804611074 |b O'Reilly Media | ||
| 037 | |a 10162641 |b IEEE | ||
| 050 | 4 | |a QA76.7 |b .A58 2022 | |
| 082 | 0 | 4 | |a 005.74 |2 23/eng/20221220 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Anthapu, Ravindranatha, |e author. | |
| 245 | 1 | 0 | |a Graph Data Processing with Cypher : |b A Practical Guide to Building Graph Traversal Queries Using the Cypher Syntax on Neo4j / |c Ravindranatha Anthapu. |
| 250 | |a 1st edition. | ||
| 264 | 1 | |a Birmingham : |b Packt Publishing, Limited, |c 2022. | |
| 264 | 4 | |c Ã2022 | |
| 300 | |a 1 online resource (332 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 505 | 0 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 500 | |a Working with COLLECT and UNWIND | ||
| 520 | |a 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 MATCH Master best practices in writing effective queries leveraging data modeling and patterns Book Description 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. What you will learn Write Cypher queries from basic to advanced level Map the source data to the graph data model in an iterative fashion Load the data into a graph using LOAD CSV, APOC, and client drivers Map the business questions to graph queries effectively Identify query performance issues and fix them Extend capabilities of Cypher using APOC utilities Work with graph visualization tools like Bloom and Browser Who this book is for This book is targeted at Database Administrator, Database Developers, Graph Database Developers, and Graph Database Architects. This book will also help someone migrate from a DBA role to a graph data engineer or data scientist If you are working with graph databases and need to learn Cypher, or are a basic Cypher developer who wants to get better at data modeling and tuning queries to build performant Cypher queries, then this is the book for you. | ||
| 588 | |a Description based on online resource; title from digital title page (viewed on August 18, 2023). | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Query languages (Computer science) | |
| 650 | 0 | |a Graph databases. | |
| 650 | 7 | |a Graph databases. |2 fast |0 (OCoLC)fst02003613 | |
| 650 | 7 | |a Query languages (Computer science) |2 fast |0 (OCoLC)fst01085675 | |
| 776 | 0 | 8 | |i Print version: |a Anthapu, Ravindranatha |t Graph Data Processing with Cypher |d Birmingham : Packt Publishing, Limited,c2022 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781804611074/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL30285002 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL30285002 | ||
| 994 | |a 92 |b IZTAP | ||