Items related to Graph Databases in Action
Synopsis
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
"synopsis" may belong to another edition of this title.
About the Author
Dave Bechberger has extensive experience using graph databases as a product architect and a consultant. He’s spent his career leveraging cutting- edge technologies to build software in complex data domains such as bioinformatics, oil and gas, and su
Josh Perryman is technologist with over two decades of diverse experience building and maintaining complex systems, including high performance computing (HPC) environments. Since 2014 he has focused on graph databases, especially in distributed or big data environments, and he regularly blogs and speaks at conferences about graph databases.
From the Back Cover
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.
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 anti-patterns
For software developers. No experience with graph databases required.
"About this title" may belong to another edition of this title.
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Paperback. Condition: new. Paperback. Graph Databases in Action teaches readers everything they need to know to begin building and running applications powered by graph databases. Right off the bat, seasoned graph database experts introduce readers to just enough graph theory, the graph database ecosystem, and a variety of datastores. They also explore modelling basics in action with real-world examples, then go hands-on with querying, coding traversals, parsing results, and other essential tasks as readers build their own graph-backed social network app complete with a recommendation engine! Key Features Graph database fundamentals An overview of the graph database ecosystem Relational vs. graph database modelling Querying graphs using Gremlin Real-world common graph use cases For readers with basic Java and application development skills building in RDBMS systems such as Oracle, SQL Server, MySQL, and Postgres. No experience with graph databases is required. About the technology Graph databases store interconnected data in a more natural form, making them superior tools for representing data with rich relationships. Unlike in relational database management systems (RDBMS), where a more rigid view of data connections results in the loss of valuable insights, in graph databases, data connections are first priority. Dave Bechberger has extensive experience using graph databases as a product architect and a consultant. Hes spent his career leveraging cutting-edge technologies to build software in complex data domains such as bioinformatics, oil and gas, and supply chain management. Hes an active member of the graph community and has presented on a wide variety of graph-related topics at national and international conferences. Josh Perryman is technologist with over two decades of diverse experience building and maintaining complex systems, including high performance computing (HPC) environments. Since 2014 he has focused on graph databases, especially in distributed or big data environments, and he regularly blogs and speaks at conferences about graph databases. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781617296376
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