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The Practitioner's Guide to Graph Data: Applying Graph Thinking and Graph Technologies to Solve Complex Problems
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The Practitioner's Guide to Graph Data: Applying Graph Thinking and Graph Technologies to Solve Complex Problems
Graph data closes the gap between the way humans and computers view the world. By working with concepts from graph theory, database schema, distributed systems, and data analysis, you’ll arrive at a unique intersection known as graph thinking.
The Practitioner's Guide to Graph Data: Applying Graph Thinking and Graph Technologies to Solve Complex Problems
Item #: 22773033

The Practitioner's Guide to Graph Data: Applying Graph Thinking and Graph Technologies to Solve Complex Problems

87% of respondents would recommend this to a friend

Item #: 22773033

MYR 374

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Graph data closes the gap between the way humans and computers view the world. By working with concepts from graph theory, database schema, distributed systems, and data analysis, you’ll arrive at a unique intersection known as graph thinking.
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What Stands Out

Graph Thinking
Empowers readers to adopt innovative problem-solving strategies using graph thinking, enabling clearer insights into complex data relationships for improved decision-making and solution development.
Practical Applications
Offers real-world case studies that demonstrate the application of graph technologies, bridging theory with practice to address critical industry challenges and enhance practical understanding.
Expert Insights
Authored by leading professionals in the field, providing authoritative perspectives and proven methodologies that enhance the reader's knowledge and skills in Graph Data Management.

Maklumat produk

Shop The Practitioner's Guide to Graph Data: Applying Graph Thinking and Graph Technologies to Solve Complex Problems online at a best price in Malaysia. 1492044075
Publisher O'Reilly Media
Publication date May 5, 2020
Edition 1st
Language English
Print length 417 pages
ISBN-10 1492044075
ISBN-13 978-1492044079
Item Weight 2.31 pounds (1.05 kg)
Dimensions 7 x 0.86 x 9.19 inches (17.8 x 2.2 x 23.3 cm)

Who Should Buy?

Suitable For
  • Data Science Professionals

    Ideal for those who want to leverage graph technologies in data analysis and complex problem-solving.

  • Software Developers

    Helpful for developers implementing graph databases and looking to enhance their applications with graph thinking.

  • Business Analysts

    Valuable for analysts seeking to understand data relationships and improve decision-making through graph visualization.

Not Suitable For
  • Casual Readers

    Not suitable for those without a technical background or interest in graph data concepts and technologies.

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The Practitioner's Guide to Graph Data: Applying Graph Thinking and Graph Technologies to Solve Complex Problems

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Intelligence & Semantics Editorial Review

The Practitioner's Guide to Graph Data: Applying Graph Thinking and Graph Technologies to Solve Complex Problems is a comprehensive resource published by O'Reilly Media on May 5, 2020. This first edition, spanning 417 pages, delves into the application of graph thinking for tackling complex problems, making it a valuable tool for professionals in data analysis and software development. Many readers have praised its practical approach and clear explanations, highlighting the effectiveness of graph technologies in real-world scenarios. The book is available in English and is thoughtfully designed for easy reading, thanks to its well-structured content and diagrams.

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Ulas Produk Ini

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Kebaikan

  • Comprehensive coverage of graph technologies
  • Practical applications for complex problems
  • Well-structured content and diagrams
  • Clear explanations enhance understanding
  • Suitable for both beginners and experts

Keburukan

  • Minor typos may be encountered throughout the text

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Pesan sekarang dan dapatkannya lebih kurang pada Rabu, Oktober 28

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Ciri & Faedah

  • Graph data bridges the gap between human and computer perception
  • Practical guide applying graph thinking and technologies to solve complex problems
  • Authors provide templates for building with graph technology and application architecture examples
  • Learn to build a Customer 360 application, dive into hierarchical data, find paths in graph data, and design recommendation systems
  • Suitable for data engineers, data scientists, and data analysts
  • Graph data allows different paths to inform preferences and choices

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