Graph Databases in Action Book [PDF] Download

Download the fantastic book titled Graph Databases in Action written by Dave Bechberger, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Graph Databases in Action", which was released on 24 November 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Graph Databases in Action by Dave Bechberger PDF

Graph Databases in Action introduces you to graph database concepts by comparing them with relational database constructs. You'll learn just enough theory to get started, then progress to hands-on development. Discover use cases involving social networking, recommendation engines, and personalization. Summary Relationships in data often look far more like a web than an orderly set of rows and columns. Graph databases shine when it comes to revealing valuable insights within complex, interconnected data such as demographics, financial records, or computer networks. In Graph Databases in Action, experts Dave Bechberger and Josh Perryman illuminate the design and implementation of graph databases in real-world applications. You'll learn how to choose the right database solutions for your tasks, and how to use your new knowledge to build agile, flexible, and high-performing graph-powered applications! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Isolated data is a thing of the past! Now, data is connected, and graph databases—like Amazon Neptune, Microsoft Cosmos DB, and Neo4j—are the essential tools of this new reality. Graph databases represent relationships naturally, speeding the discovery of insights and driving business value. About the book Graph Databases in Action introduces you to graph database concepts by comparing them with relational database constructs. You'll learn just enough theory to get started, then progress to hands-on development. Discover use cases involving social networking, recommendation engines, and personalization. What's inside Graph databases vs. relational databases Systematic graph data modeling Querying and navigating a graph Graph patterns Pitfalls and antipatterns About the reader For software developers. No experience with graph databases required. About the author Dave Bechberger and Josh Perryman have decades of experience building complex data-driven systems and have worked with graph databases since 2014. Table of Contents PART 1 - GETTING STARTED WITH GRAPH DATABASES 1 Introduction to graphs 2 Graph data modeling 3 Running basic and recursive traversals 4 Pathfinding traversals and mutating graphs 5 Formatting results 6 Developing an application PART 2 - BUILDING ON GRAPH DATABASES 7 Advanced data modeling techniques 8 Building traversals using known walks 9 Working with subgraphs PART 3 - MOVING BEYOND THE BASICS 10 Performance, pitfalls, and anti-patterns 11 What's next: Graph analytics, machine learning, and resources


Detail About Graph Databases in Action PDF

  • Author : Dave Bechberger
  • Publisher : Manning Publications
  • Genre : Computers
  • Total Pages : 336 pages
  • ISBN : 1617296376
  • PDF File Size : 14,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Graph Databases in Action

Graph Databases in Action
  • Publisher : Manning Publications
  • File Size : 29,7 Mb
  • Release Date : 24 November 2020
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Graph Databases in Action introduces you to graph database concepts by comparing them with relational database constructs. You'll learn just enough theory to get started, then progress to hands-on development.

Graph Databases in Action

Graph Databases in Action
  • Publisher : Simon and Schuster
  • File Size : 37,8 Mb
  • Release Date : 17 October 2020
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Graph Databases in Action introduces you to graph database concepts by comparing them with relational database constructs. You'll learn just enough theory to get started, then progress to hands-on development.

Neo4j in Action

Neo4j in Action
  • Publisher : Simon and Schuster
  • File Size : 55,5 Mb
  • Release Date : 05 December 2014
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Summary Neo4j in Action is a comprehensive guide to Neo4j, aimed at application developers and software architects. Using hands-on examples, you'll learn to model graph domains naturally with

Graph Databases

Graph Databases
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 33,8 Mb
  • Release Date : 10 June 2013
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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

Graph Databases

Graph Databases
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 20,6 Mb
  • Release Date : 10 June 2015
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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

Hands-On Graph Analytics with Neo4j

Hands-On Graph Analytics with Neo4j
  • Publisher : Packt Publishing Ltd
  • File Size : 32,9 Mb
  • Release Date : 21 August 2020
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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

Graph Algorithms

Graph Algorithms
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 52,7 Mb
  • Release Date : 16 May 2019
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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

The Practitioner's Guide to Graph Data

The Practitioner's Guide to Graph Data
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 37,9 Mb
  • Release Date : 20 March 2020
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Graph data closes the gap between the way humans and computers view the world. While computers rely on static rows and columns of data, people navigate and reason about life

Graph-Powered Machine Learning

Graph-Powered Machine Learning
  • Publisher : Simon and Schuster
  • File Size : 42,9 Mb
  • Release Date : 05 October 2021
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Upgrade your machine learning models with graph-based algorithms, the perfect structure for complex and interlinked data. Summary In Graph-Powered Machine Learning, you will learn: The lifecycle of a machine learning

Graph Representation Learning

Graph Representation Learning
  • Publisher : Springer Nature
  • File Size : 26,9 Mb
  • Release Date : 01 June 2022
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Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that