Inicio > > Bases de datos > Practical Neo4j
Practical Neo4j

Practical Neo4j

Gregory Jordan

72,20 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2014
Materia
Bases de datos
ISBN:
9781484200230
72,20 €
IVA incluido
Disponible

Selecciona una librería:

  • Librería Samer Atenea
  • Librería Aciertas (Toledo)
  • Kálamo Books
  • Librería Perelló (Valencia)
  • Librería Elías (Asturias)
  • Donde los libros
  • Librería Kolima (Madrid)
  • Librería Proteo (Málaga)

Why have developers at places like Facebook and Twitter increasingly turned to graph databases to manage their highly connected big data? The short answer is that graphs offer superior speed and flexibility to get the job done. It’s time you added skills in graph databases to your toolkit. In Practical Neo4j, database expert Greg Jordan guides you through the background and basics of graph databases and gets you quickly up and running with Neo4j, the most prominent graph database on the market today. Jordan walks you through the data modeling stages for projects such as social networks, recommendation engines, and geo-based applications. The book also dives into the configuration steps as well as the language options used to create your Neo4j-backed applications.Neo4j runs some of the largest connected datasets in the world, and developing with it offers you a fast, proven NoSQL database option. Besides those working for social media, database, and networking companies of all sizes, academics and researchers will find Neo4j a powerful research tool that can help connect large sets of diverse data and provide insights that would otherwise remain hidden. Using Practical Neo4j, you will learn how to harness that power and create elegant solutions that address complex data problems. This book:Explains the basics of graph databasesDemonstrates how to configure and maintain Neo4jShows how to import data into Neo4j from a variety of sourcesProvides a working example of a Neo4j-based application using an array of language of options including Java, .Net, PHP, Python, Spring, and RubyAs you’ll discover, Neo4j offers a blend of simplicity and speed while allowing data relationships to maintain first-class status. That’s one reason among many that such a wide range of industries and fields have turned to graph databases to analyze deep, dense relationships. After reading this book, you’ll have a potent, elegant tool you can use to develop projects profitably and improve your career options.

Artículos relacionados

  • Mastering MongoDB 7.0 - Fourth Edition
    Arek Borucki / Leandro Domingues / Marko Aleksendrić
    Gain MongoDB expertise and discover advanced queries and Atlas insights with this ultimate guide to version 7.0Key FeaturesEnhance your proficiency in advanced queries, aggregation, and optimized indexing to achieve peak MongoDB performanceMonitor, back up, and integrate applications effortlessly with MongoDB AtlasImplement security thorough RBAC, auditing, and encryption to en...
  • Bases de datos en SQL server
    Darin Jairo Mosquera Palacios / Edwin Rivas Trujillo / Luis Felipe Wanumen Silva
    El diseño y la implementación de sistemas y la manipulación de bases de datos utilizan los lenguajes LDD (Lenguaje de Definición de Datos) y LMD (Lenguaje de Manipulación de Datos). Los autores ofrecen una obra que permita el uso de estos lenguajes a quienes están encargados de administrar sistemas informáticos y sus desarrolladores. El libro presenta una propuesta para modelar...
    Disponible

    10,35 €

  • Practical MongoDB Aggregations
    Paul Done
    Begin your journey toward efficient data manipulation with this robust technical guide and enhance your aggregation skills while building efficient pipelines for a variety of tasksKey Features:Build effective aggregation pipelines for increased productivity and performanceSolve common data manipulation and analysis problems with the help of practical examplesLearn essential str...
  • Data Observability for Data Engineering
    Michele Pinto / Sammy El Khammal
    Discover actionable steps to maintain healthy data pipelines to promote data observability within your teams with this essential guide to elevating data engineering practicesKey FeaturesLearn how to monitor your data pipelines in a scalable wayApply real-life use cases and projects to gain hands-on experience in implementing data observabilityInstil trust in your pipelines amon...
    Disponible

    53,54 €

  • Redis Stack for Application Modernization
    Luigi Fugaro / Mirko Ortensi
    Discover the multi-model capabilities of Redis Stack as a document store and vector database, with support for time series, stream processing, probabilistic data structures, and moreKey FeaturesModel, index, and search data using JSON and vector data typesModernize your applications with vector similarity search, documents hybrid search, and moreConfigure a scalable, highly ava...
    Disponible

    54,72 €

  • Data Mining and Data Warehousing
    Parteek Bhatia
    ...
    Disponible

    134,11 €