{"product_id":"graph-data-modeling-in-python-a-practical-guide-to-curating-analyzing-and-modeling-data-with-graphs-paperback","title":"Graph Data Modeling in Python: A practical guide to curating, analyzing, and modeling data with graphs - Paperback","description":"\u003cp\u003eby \u003cb\u003eGary Hutson\u003c\/b\u003e (Author), \u003cb\u003eMatt Jackson\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eLearn how to transform, store, evolve, refactor, model, and create graph projections using the Python programming language\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePurchase of the print or Kindle book includes a free PDF eBook\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eTransform relational data models into graph data model while learning key applications along the way\u003c\/li\u003e\n\u003cli\u003eDiscover common challenges in graph modeling and analysis, and learn how to overcome them\u003c\/li\u003e\n\u003cli\u003ePractice real-world use cases of community detection, knowledge graph, and recommendation network\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eGraphs 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eGraph 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBy the end of this 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDesign graph data models and master schema design best practices\u003c\/li\u003e\n\u003cli\u003eWork with the NetworkX and igraph frameworks in Python\u003c\/li\u003e\n\u003cli\u003eStore, query, ingest, and refactor graph data\u003c\/li\u003e\n\u003cli\u003eStore your graphs in memory with Neo4j\u003c\/li\u003e\n\u003cli\u003eBuild and work with projections and put them into practice\u003c\/li\u003e\n\u003cli\u003eRefactor schemas and learn tactics for managing an evolved graph data model\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eIf you are a data analyst or database developer interested in learning graph databases and how to curate and extract data from them, this is the book for you. It is also beneficial for data scientists and Python developers looking to get started with graph data modeling. Although knowledge of Python is assumed, no prior experience in graph data modeling theory and techniques is required.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 236\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.5 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 30, 2023\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42736174399551,"sku":"9781804618035","price":77.74,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/cec93366f9d8dfc6718b2ad8bc051ba1.webp?v=1765145912","url":"https:\/\/dhlswag.com\/products\/graph-data-modeling-in-python-a-practical-guide-to-curating-analyzing-and-modeling-data-with-graphs-paperback","provider":"BBB","version":"1.0","type":"link"}