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Neo4j Graph Data Modeling, by Mahesh Lal
Download Ebook Neo4j Graph Data Modeling, by Mahesh Lal
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Design efficient and flexible databases by optimizing the power of Neo4j
About This Book- Model your data as a graph using Neo4j to design databases with minimum hassle
- Discover new patterns using graphs and solve problems that are difficult to solve using any other database
- Step-by-step guide to designing a graph model with pitfalls and design choices
If you are a developer who wants to understand the fundamentals of modeling data in Neo4j and how it can be used to model full-fledged applications, then this book is for you. Some understanding of domain modeling may be advantageous but is not essential.
What You Will Learn- Translate a problem domain from a whiteboard to your database
- Make design decisions based on the nature of data and how it is going to be used
- Use Cypher to create and query data
- Evolve your database in stages
- Optimize the performance of your application with data design
- Design paradigms to ensure flexibility, ease of querying, and performance
- Move from an existing model to a new model without losing consistency
Neo4j is a graph database that allows you to model your data as a graph and find solutions to complex real-world problems that are difficult to solve using any other type of database.
This book is designed to help you understand the intricacies of modeling a graph for any domain.
The book starts with an example of a graph problem and then introduces you to modeling non-graph problems using Neo4j. Concepts such as the evolution of your database, chains, access control, and recommendations are addressed, along with examples and are modeled in a graph. Throughout the book, you will discover design choices and trade-offs, and understand how and when to use them. By the end of the book, you will be able to effectively use Neo4j to model your database for efficiency and flexibility.
- Sales Rank: #1837426 in Books
- Published on: 2015-07-31
- Released on: 2015-07-27
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .32" w x 7.50" l, .55 pounds
- Binding: Paperback
- 119 pages
About the Author
Mahesh Lal
Mahesh Lal is a developer who has experience with various technologies. In 2011, while working on a social network for a client, he discovered the power of graphs, specifically Neo4j. Since then, he has been working with multiple clients across various domains for modeling their data as a graph. Currently working for ThoughtWorks, India, he is trying to help his clients look at their search problems in the form of a graph.
Most helpful customer reviews
1 of 1 people found the following review helpful.
or how to think in terms of developing a graph database this is a good book to start
By G. A. Patino
If you are looking for a book to give you a quick overview of the capabilities of graph databases, or how to think in terms of developing a graph database this is a good book to start. The explanations on how to decide whether something should be a node or a property are clear, and the example of a flight and hotel booking application make them very relatable to a wide array of users. The way business considerations are integrated in the modelling decisions will be great guidance for somebody getting into this field.
It is also good if you want to get the basics of Neo4j very quickly, as the book is only 109 pages long. However, I think that only people with some programming experience and that are comfortable deducing language syntax rules from example code will be able to do it. This is because the authors rely too much on the declarative nature of Neo4j/Cypher and don't go into any details about syntax rules.
The book could have benefited from an initial chapter explaining the Neo4j ecosystem better, as is not clear how to switch from the shell to the browser, or in what conditions to use each. Also, as mentioned above, an explanation of the language syntax would have greatly improved he accessibility of the text. There is no mention either of saving and loading databases either in the shell or the browser. Finally, expanding the last chapter to explain the main limitations of Neo4j, as opposed to graph databases, and what other open-source packages could be used to complement the language would have been very useful.
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