Author:
Publisher:
ISBN: 9782822707442
Category :
Languages : en
Pages : 0

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Book Description

Author: Frank Kutzler
Publisher: Éditions D-BookeR
ISBN: 2822707464
Category : Computers
Languages : en
Pages : 290

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Book Description
This book provides you with a concrete approach of using Neo4j in a production context. Written in the style of a play, it reports the debates between the members of a technical team specialized in strongly connected data. It focuses on methodology, integrations with existing systems, performance, monitoring and security. You may already have an idea of what Neo4j is and how it works, and maybe you've even played around with some ideas using it. The question now is how you can take your graph project all the way to production-grade. This is what is discussed in this book. The book starts with a brief introduction to Neo4j and its query language, CYPHER, to help readers who are just beginning to explore Neo4j. Then we go straight to the subject in question: how to set up a real life project based on Neo4j, from the proof of concept to an operating production-grade graph database. We focus on methodology, integrations with existing systems, performance, monitoring and security. As leading experts in the Neo4j French community, the authors have chosen an unusual format to transmit their technical know-how: they tell you a story, a graph project story, where the protagonists are members of a technical team who specializes in the representation and manipulation of strongly connected data. The plot starts when a client come in with his project. You will attend their working sessions and see how they develop the project, fight over approaches, and ultimately solve the problems they encounter. Welcome to GraphITs.Tech! This audacious and, we hope, entertaining approach allows you to experience all aspects of setting up a graph database, from the various and sometimes opposing points of view of technical and network experts, project managers, and even trainees. Level: Intermediate/Advanced Table of contents: About Neo4j and CYPHER Welcome to GraphITs.Tech! 1. A Little Bit of Method and Analysis 2. Interact with Neo4j 3. Data import/export 4. Operating Neo4j 5. Securing data Appendix Neo4j OGM and Spring Data Neo4j Appendix CYPHER Refcard

Author: Rik Van Bruggen
Publisher: Packt Publishing Ltd
ISBN: 1849517177
Category : Computers
Languages : en
Pages : 296

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Book Description
This book is for developers who want an alternative way to store and process data within their applications. No previous graph database experience is required; however, some basic database knowledge will help you understand the concepts more easily.

Author: Estelle Scifo
Publisher: Packt Publishing Ltd
ISBN: 1804614904
Category : Computers
Languages : en
Pages : 289

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Book Description
Supercharge your data with the limitless potential of Neo4j 5, the premier graph database for cutting-edge machine learning Purchase of the print or Kindle book includes a free PDF eBook Key FeaturesExtract meaningful information from graph data with Neo4j's latest version 5Use Graph Algorithms into a regular Machine Learning pipeline in PythonLearn the core principles of the Graph Data Science Library to make predictions and create data science pipelines.Book Description Neo4j, along with its Graph Data Science (GDS) library, is a complete solution to store, query, and analyze graph data. As graph databases are getting more popular among developers, data scientists are likely to face such databases in their career, making it an indispensable skill to work with graph algorithms for extracting context information and improving the overall model prediction performance. Data scientists working with Python will be able to put their knowledge to work with this practical guide to Neo4j and the GDS library that offers step-by-step explanations of essential concepts and practical instructions for implementing data science techniques on graph data using the latest Neo4j version 5 and its associated libraries. You'll start by querying Neo4j with Cypher and learn how to characterize graph datasets. As you get the hang of running graph algorithms on graph data stored into Neo4j, you'll understand the new and advanced capabilities of the GDS library that enable you to make predictions and write data science pipelines. Using the newly released GDSL Python driver, you'll be able to integrate graph algorithms into your ML pipeline. By the end of this book, you'll be able to take advantage of the relationships in your dataset to improve your current model and make other types of elaborate predictions. What you will learnUse the Cypher query language to query graph databases such as Neo4jBuild graph datasets from your own data and public knowledge graphsMake graph-specific predictions such as link predictionExplore the latest version of Neo4j to build a graph data science pipelineRun a scikit-learn prediction algorithm with graph dataTrain a predictive embedding algorithm in GDS and manage the model storeWho this book is for If you're a data scientist or data professional with a foundation in the basics of Neo4j and are now ready to understand how to build advanced analytics solutions, you'll find this graph data science book useful. Familiarity with the major components of a data science project in Python and Neo4j is necessary to follow the concepts covered in this book.

Author: Mark Needham
Publisher: "O'Reilly Media, Inc."
ISBN: 1492047635
Category : Computers
Languages : en
Pages : 297

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Book Description
Discover how graph algorithms can help you leverage the relationships within your data to develop more intelligent solutions and enhance your machine learning models. You’ll learn how graph analytics are uniquely suited to unfold complex structures and reveal difficult-to-find patterns lurking in your data. Whether you are trying to build dynamic network models or forecast real-world behavior, this book illustrates how graph algorithms deliver value—from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. This practical book walks you through hands-on examples of how to use graph algorithms in Apache Spark and Neo4j—two of the most common choices for graph analytics. Also included: sample code and tips for over 20 practical graph algorithms that cover optimal pathfinding, importance through centrality, and community detection. Learn how graph analytics vary from conventional statistical analysis Understand how classic graph algorithms work, and how they are applied Get guidance on which algorithms to use for different types of questions Explore algorithm examples with working code and sample datasets from Spark and Neo4j See how connected feature extraction can increase machine learning accuracy and precision Walk through creating an ML workflow for link prediction combining Neo4j and Spark

Author: Mahesh Lal
Publisher: Packt Publishing Ltd
ISBN: 178439730X
Category : Computers
Languages : en
Pages : 138

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Book Description
Neo4j is a graph database that allows you to model your data as a graph and find solutions to complex real-world problems that are difficult to solve using any other type of database. This book is designed to help you understand the intricacies of modeling a graph for any domain. The book starts with an example of a graph problem and then introduces you to modeling non-graph problems using Neo4j. Concepts such as the evolution of your database, chains, access control, and recommendations are addressed, along with examples and are modeled in a graph. Throughout the book, you will discover design choices and trade-offs, and understand how and when to use them. By the end of the book, you will be able to effectively use Neo4j to model your database for efficiency and flexibility.

Author: Rik Van Bruggen
Publisher:
ISBN:
Category : Electronic data processing
Languages : en
Pages : 222

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Book Description
Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database In Detail Learning Neo4j provides you with a step-by-step approach of adopting Neo4j, the world's leading graph database. This book includes a lot of background information, helps you grasp the fundamental concepts behind this radical new way of dealing with connected data, and will give you lots of examples of use cases and environments where a graph database would be a great fit. Starting with a brief introduction to graph theory, this book will show you the advantages of using graph databases. Following on from that, you will be introduced to Neo4j and you will be shown how to install Neo4j on various operating systems. You will then be shown how you can model and import your data into Neo4j. This book has two use case examples that will show you how to model and implement a graph in Neo4j by analyzing a user case, and analyze the impact a change has on a process or a system. You will also gain an insight into graph visualization options for Neo4j and discover external sources where you can learn more about Neo4j. What You Will Learn Background and specifications of graph databases Install Neo4j on a variety of different platforms, locally and in the cloud Model data for a graph database such as Neo4j Import data into Neo4j Learn about sample use cases for Neo4j Discover the advantages of graph databases versus other database models Find out where you can find additional information on Neo4j Downloading the example code for this book. You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.

Author: Ian Robinson
Publisher: "O'Reilly Media, Inc."
ISBN: 1491930861
Category : Computers
Languages : en
Pages : 238

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Book Description
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

Author: Ian Robinson
Publisher: "O'Reilly Media, Inc."
ISBN: 1449356222
Category : Computers
Languages : en
Pages : 161

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Book Description
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. 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

Author: Estelle Scifo
Publisher: Packt Publishing Ltd
ISBN: 1839215666
Category : Computers
Languages : en
Pages : 496

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Book Description
Discover how to use Neo4j to identify relationships within complex and large graph datasets using graph modeling, graph algorithms, and machine learning Key FeaturesGet up and running with graph analytics with the help of real-world examplesExplore various use cases such as fraud detection, graph-based search, and recommendation systemsGet to grips with the Graph Data Science library with the help of examples, and use Neo4j in the cloud for effective application scalingBook Description Neo4j is a graph database that includes plugins to run complex graph algorithms. The book starts with an introduction to the basics of graph analytics, the Cypher query language, and graph architecture components, and helps you to understand why enterprises have started to adopt graph analytics within their organizations. You’ll find out how to implement Neo4j algorithms and techniques and explore various graph analytics methods to reveal complex relationships in your data. You’ll be able to implement graph analytics catering to different domains such as fraud detection, graph-based search, recommendation systems, social networking, and data management. You’ll also learn how to store data in graph databases and extract valuable insights from it. As you become well-versed with the techniques, you’ll discover graph machine learning in order to address simple to complex challenges using Neo4j. You will also understand how to use graph data in a machine learning model in order to make predictions based on your data. Finally, you’ll get to grips with structuring a web application for production using Neo4j. By the end of this book, you’ll not only be able to harness the power of graphs to handle a broad range of problem areas, but you’ll also have learned how to use Neo4j efficiently to identify complex relationships in your data. What you will learnBecome well-versed with Neo4j graph database building blocks, nodes, and relationshipsDiscover how to create, update, and delete nodes and relationships using Cypher queryingUse graphs to improve web search and recommendationsUnderstand graph algorithms such as pathfinding, spatial search, centrality, and community detectionFind out different steps to integrate graphs in a normal machine learning pipelineFormulate a link prediction problem in the context of machine learningImplement graph embedding algorithms such as DeepWalk, and use them in Neo4j graphsWho this book is for This book is for data analysts, business analysts, graph analysts, and database developers looking to store and process graph data to reveal key data insights. This book will also appeal to data scientists who want to build intelligent graph applications catering to different domains. Some experience with Neo4j is required.