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A Comprehensive Guide to Graph Algorithms in Neo4j
An Ebook for Product Managers, Engineers & Data Scientists
Graph algorithms are the key to gaining powerful insights from connected data.
Any organization today – from research labs to retail chains – that more finely leverages graph analytics arrives faster at extracting valuable insights from huge, complex volumes of data.
This all-inclusive, extensive ebook on graph algorithms was written in two parts:
Part I: For product managers and solution owners
This section provides an overview of graph algorithms and their uses, while also illustrating their relevance in the modern big data landscape.
Part II: For engineers and data scientists with Neo4j experience
The bulk of this book is written as a practical, detailed guide for using graph algorithms with a quick reference table, use cases and example code.
Graph algorithms are the key to gaining powerful insights from connected data.
Any organization today – from research labs to retail chains – that more finely leverages graph analytics arrives faster at extracting valuable insights from huge, complex volumes of data.
This all-inclusive, extensive ebook on graph algorithms was written in two parts:
Part I: For product managers and solution owners
This section provides an overview of graph algorithms and their uses, while also illustrating their relevance in the modern big data landscape.
Part II: For engineers and data scientists with Neo4j experience
The bulk of this book is written as a practical, detailed guide for using graph algorithms with a quick reference table, use cases and example code.
86 pages, ebook
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