The Practitioner's Guide to Graph dаta: Applying Graph Thinking and Graph Technologies to Solve Complex Problems

The Practitioner's Guide to Graph dаta: Applying Graph Thinking and Graph Technologies to Solve Complex Problems
PDF, ePUB
  • eBook:
    The Practitioner's Guide to Graph dаta: Applying Graph Thinking and Graph Technologies to Solve Complex Problems
  • Author:
    Denise Gosnell, Matthias Broecheler
  • Edition:
    1 edition
  • Categories:
  • Data:
    April 14, 2020
  • ISBN:
    1492044075
  • ISBN-13:
    9781492044079
  • Language:
    English
  • Pages:
    420 pages
  • Format:
    PDF, ePUB

Book Description
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 through relationships. This practical guide demonstrates how graph data brings these two approaches together. By working with concepts from graph theory, database schema, distributed systems, and data analysis, you’ll arrive at a unique intersection known as graph thinking.
Authors Denise Koessler Gosnell and Matthias Broecheler show data engineers, data scientists, and data analysts how to solve complex problems with graph databases. You’ll explore templates for building with graph technology, along with examples that demonstrate how teams think about graph data within an application.
  • Build an example application architecture with relational and graph technologies
  • Use graph technology to build a Customer 360 application, the most popular graph data pattern today
  • Dive into hierarchical data and troubleshoot a new paradigm that comes from working with graph data
  • Find paths in graph data and learn why your trust in different paths motivates and informs your preferences
  • Use collaborative filtering to design a Netflix-inspired recommendation system

Content

1. Graph Thinking
2. Evolving from Relational to Graph Thinking
3. Getting Started: A Simple Customer 360
4. Exploring Neighborhoods in Development
5. Exploring Neighborhoods in Production
6. Using Trees in Development
7. Using Trees in Production
8. Finding Paths in Development
9. Finding Paths in Production
10. Recommendations in Development
11. Simple Entity Resolution in Graphs
12. Recommendations in Production
13. Epilogue

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