Authors | Bryce Merkl Sasaki, Joy Chao, Rachel Howard |
Publisher | Neo4j |
Published | 2018 |
Edition | 1 |
Paperback | 46 pages |
Language | English |
License | Creative Commons Attribution-NonCommercial |
So someone has heard about graph databases and wants to understand what all the buzz is about. Are they just a passing trend - here today and gone tomorrow - or are they a rising tide that businesses and development teams can't afford to ignore?
Whether they're a business executive or a seasoned developer, something - perhaps a pressing business challenge or a limitation of their current database - has led them to explore graph technology and its potential.
In Graph Databases For Beginners, the authors guide readers through the fundamentals of graph technology, assuming little to no prior knowledge. They also share practical tips for those considering a transition to Neo4j.
But before diving in, what makes graphs not just relevant but essential today? The first key factor is their focus on relationships. The world is generating more data than ever, but increasingly, it's the connections within that data that hold the most value.
Take fraud detection as an example. Financial institutions and insurance companies lose billions annually to fraud, yet many now use Neo4j to expose fraud rings by revealing hidden relationships.
However, Neo4j's power isn't limited to relationship mapping. Its flexible, scalable whiteboard-style data model evolves alongside data; its intuitive query language simplifies writing queries; and its agility saves companies time - setting it apart from other NoSQL and traditional relational database (RDBMS) technologies. (If these terms are unfamiliar, don't worry - the authors explain them later.)
In short, graph databases represent the future. And even for beginners, it's never too late to start. The authors invite readers to explore this technology further in the coming chapters and encourage them to reach out with any questions along the way.
This book is available under a Creative Commons Attribution-NonCommercial license (CC BY-NC), which means that you are free to copy, distribute, and modify it, as long as you attribute the source and don't use it for commercial purposes.
If you enjoyed the book and would like to support the author, you can purchase a printed copy (hardcover or paperback) from official retailers.
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