sponsored post Graph databases have been one of the fastest growing database technologies in nearly a decade, new research reveals. The August 2022 report, Gartner Market Guide for Graph Database Management Solutions, estimates that the market for graph technologies, including graph database management systems (DBMS), will grow by 2022 based on the growth in graph usage, popularity, and maturity. It is expected to grow to $3.2 billion by 2020. A CAGR of 28.1% over health is expected in 2025.
Reflecting the rapid growth of graph databases, a new book has been published to teach data professionals how to maximize the potential of this technology by offering a comprehensive and rapid course on how to apply graphs. I was.according to Graph database for dummies, Neo4j Special EditionThe rapid adoption of graph databases is the result of multiple factors. Some people are drawn to graph databases for technical or performance reasons. On the other hand, others are interested in the intuitive data model presented.
As the authors of the book, Dr. Jim Webber and Rik Van Bruggen, explain: “One thing is clear: the graph represents a departure from the relational model and his NoSQL model, but this departure is inherently valuable.”
A Gartner report notes that vendors in the graph DBMS market are extending their stacks to graph artificial intelligence (AI) platforms with enterprise knowledge graphs and related product ecosystems. But despite the apparent momentum behind graph database technology, analyst groups warn that analysts often “struggle to distinguish” between different graph implementation models. ing.
To clarify these potential ambiguities, Graph Database for Dummies Neo4j Special Edition is written with the goal of helping database and analytics professionals get back to basics and understand the fundamentals of graph databases. “We’ll walk you through the basics so you can get started quickly,” said the author. “We want it to be short, easy, and fun so that you can build applications with graph data with confidence.”
This book contains easy-to-understand information for the “curious” technical or business reader who wants to get started with graph database technology or help others get started. contained.
All examples in this book leverage the Neo4j graph database to improve usability and maximize reader comprehension. This means readers can run all of these samples after downloading her Neo4j desktop app, and even use it to build their own graph-based applications.
The author welcomes reader feedback on Twitter @neo4j.
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