Graph data modeling in Python a practical guide to curating, analyzing, and modeling data with graphs
Learn how to transform, store, evolve, refactor, model, and create graph projections using the Python programming language Purchase of the print or Kindle book includes a free PDF eBook Key Features Transform relational data models into graph data model while learning key applications along the way...
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Birmingham, England :
Packt Publishing Ltd
[2023]
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| Edición: | 1st ed |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009755147506719 |
Tabla de Contenidos:
- Table of Contents PI Introducing Graphs in the Real World Working with Graph Data Models Data Model Transformation – Relational to Graph Databases Building a Knowledge Graph Working with Graph Databases Pipeline Development Refactoring and Evolving Schemas Perfect Projections Common Errors and Debugging.
