Graph databases in action : examples in Gremlin / Dave Bechberger, Josh Perryman ; foreword by Ted Wilmes.

Format:

Book

Author/Creator:

Bechberger, Dave, author.

Perryman, Josh, author.

Contributor:

Wilmes, Ted, writer of foreword.

Language:

English

Subjects (All):

Databases.

Graph databases.

Physical Description:

1 online resource (274 pages)

Place of Publication:

Shelter Island, New York : Manning, [2020]

Summary:

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 DATABASES1 Introduction to graphs2 Graph data modeling3 Running basic and recursive traversals4 Pathfinding traversals and mutating graphs5 Formatting results6 Developing an applicationPART 2 - BUILDING ON GRAPH DATABASES7 Advanced data modeling techniques8 Building traversals using known walks9 Working with subgraphsPART 3 - MOVING BEYOND THE BASICS10 Performance, pitfalls, and anti-patterns11 What's next: Graph analytics, machine learning, and resources

Notes:

Description based on print version record.

Includes index.

ISBN:

9781638350101

1638350108

OCLC:

1256804277