Hutson, Gary
Graph Data Modeling in Python: A practical guide to curating, analyzing, and modeling data with graphs
- ISBN 13:
- 9781804618035
- author:
- Hutson, Gary
- format:
- Paperback
- publisher:
- Packt Publishing
- language:
- English
- Publication Year:
- 2023
- Pages:
- 236
- Dimensions:
- 23.5 x 19.1 x 1.3 centimetres (0
- Genre:
- Computers, Server & Database, General Database,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
Transform relational data models into powerful graph data models using Python. This practical guide covers key applications and common challenges in graph modeling and analysis, helping you overcome obstacles and unlock hidden insights through complex network analysis.
With this book, you'll learn how to design optimal graph models capable of supporting a wide range of queries and features, seamlessly transitioning from traditional relational databases and tabular data to the dynamic world of graph data structures. You'll also discover how to manage a persistent graph database using Neo4j and adapt your network model to evolving data requirements.
By the end of this book, you'll be able to transform tabular data into powerful graph data models, building your knowledge from beginner to advanced-level practitioner in no time.
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