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Sasaki B Graph Databases For Beginners 2019 torrent


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Torrent added:2019-09-18 15:23:57

Download Sasaki B Graph Databases For Beginners 2019 torrent




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Textbook in PDF format

Welcome to the World of Graph Technology !
Whether you’re a business executive or a seasoned developer, something — maybe a business challenge or a task your current database can’t handle — has led you on the quest to learn more about graphs and what they can do. In this Graph Databases For Beginners ebook, we’ll take you through the basics of graph technology assuming you have little (or no) background in the technology. We’ll also include some useful tips that will help you if you decide to make the switch to Neo4j. Before we dive in, what is it that makes graphs not only relevant, but necessary in today’s world ? The first is its focus on relationships. Collectively we are gathering more data than ever before, but more and more frequently it’s how that data is related that is truly important. But it’s not only this focus on relationships that makes Neo4j so powerful. A whiteboard data model that’s flexible and scalable to evolve along with your data; an intuitive query language that makes writing queries simple; and agility that saves your company valuable time all make Neo4j stand out from other NoSQL offerings and traditional relational database (RDBMS) technologies. (Are these terms unfamiliar to you ? Don’t worry — we’ll explain them in the chapters to follow.). In short, graph databases are the future. And even if you’re just a beginner, it’s never too late to get started. We invite you to learn more about this new technology in the pages that follow. And as you read, feel free to reach out to us with your questions.
Introduction.
Graphs Are the Future.
Why Data Relationships Matter.
Data Modeling Basics.
Data Modeling Pitfalls to Avoid.
Why a Database Query Language Matters.
Imperative vs. Declarative Query Languages.
Graph Theory & Predictive Modeling.
Graph Search Algorithm Basics.
Why We Need NoSQL Databases.
ACID vs. BASE Explained.
Aggregate Stores Tour.
Other Graph Databases.
Native vs. Non-Native Graph Processing.
Conclusion

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