Graph Data Modeling in Python
eBook Details:
- Paperback: 236 pages
- Publisher: WOW! eBook (June 30, 2023)
- Language: English
- ISBN-10: 1804618039
- ISBN-13: 978-1804618035
eBook Description:
Graph Data Modeling in Python: Learn how to transform, store, evolve, refactor, model, and create graph projections using the Python programming language
Graphs have become increasingly integral to powering the products and services we use in our daily lives, driving social media, online shopping recommendations, and even fraud detection. With this book, you’ll see how a good graph data model can help enhance efficiency and unlock hidden insights through complex network analysis.
Graph Data Modeling in Python will guide you through designing, implementing, and harnessing a variety of graph data models using the popular open source Python libraries NetworkX and igraph. Following practical use cases and examples, you’ll find out how to design optimal graph models capable of supporting a wide range of queries and features. Moreover, you’ll seamlessly transition from traditional relational databases and tabular data to the dynamic world of graph data structures that allow powerful, path-based analyses. As well as learning how to manage a persistent graph database using Neo4j, you’ll also get to grips with adapting your network model to evolving data requirements.
- Design graph data models and master schema design best practices
- Work with the NetworkX and igraph frameworks in Python
- Store, query, ingest, and refactor graph data
- Store your graphs in memory with Neo4j
- Build and work with projections and put them into practice
- Refactor schemas and learn tactics for managing an evolved graph data model
By the end of this Graph Data Modeling in Python book, you’ll be able to transform tabular data into powerful graph data models. In essence, you’ll build your knowledge from beginner to advanced-level practitioner in no time.
