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Databases & Big Data - The Practitioner's Guide to Graph Data: Applying Graph Thinking and Graph Technologies to Solve Complex Problems

Description

Book Synopsis

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. Read more.

Details

Are you looking for a breakthrough in solving complex problems? Look no further than "The Practitioner's Guide to Graph Data: Applying Graph Thinking and Graph Technologies to Solve Complex Problems." This comprehensive and practical guide will open your eyes to the power of graph data in bridging the gap between humans and computers. Unlike traditional data formats, graph data allows you to navigate and reason about relationships, just like how our minds work.

Written by industry experts Denise Koessler Gosnell and Matthias Broecheler, this guide is packed with insights and techniques that will empower data engineers, data scientists, and data analysts to overcome the most challenging problems using graph databases. Discover how to leverage graph technology to build a Customer 360 application, a highly sought-after graph data pattern in today's data-driven world.

One of the standout characteristics of graph data is its ability to handle hierarchical data seamlessly. With this book, you'll dive deep into this new paradigm and learn how to troubleshoot any obstacles that may arise. Delve into the fascinating world of path finding in graph data and gain a deeper understanding of how your preferences and motivations are influenced by different paths.

Additionally, "The Practitioner's Guide to Graph Data" explores how collaborative filtering can be used to design recommendation systems, similar to those seen on Netflix. By following the practical examples and templates provided, you'll be able to unlock the full potential of graph technology to revolutionize the way you approach complex problem-solving.

Don't miss out on this invaluable resource. Get your copy of "The Practitioner's Guide to Graph Data" today and take your data analysis skills to the next level!Click here to order now.

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