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Graph Databases: New Opportunities for Connected Data 2nd Edition by Ian Robinson (Author)

  • Publisher: COMPUTER SCIENCE
  • Availability: In Stock
  • SKU: 53432
  • Number of Pages: 236

Rs.580.00

Rs.795.00

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In "Graph Databases: New Opportunities for Connected Data," Ian Robinson explores the transformative potential of graph databases in harnessing the power of interconnected data structures. This second edition delves deeper into the practical applications and theoretical underpinnings of graph databases, making it an indispensable resource for both newcomers and seasoned professionals in the field of data management. Robinson, a recognized authority in graph databases, provides comprehensive insights into how graph databases enable efficient representation and exploration of complex relationships between data points, offering unparalleled flexibility and speed in data querying and manipulation.

The book begins by laying a solid foundation in graph theory and database concepts, equipping readers with the necessary knowledge to understand the advantages of graph databases over traditional relational databases. Robinson then delves into practical aspects, guiding readers through the process of modeling data as graphs and implementing graph databases using popular technologies such as Neo4j. Real-world use cases illustrate how organizations across various industries leverage graph databases to extract actionable insights from their interconnected datasets, enhancing decision-making processes and driving innovation.

This updated edition includes new chapters that explore recent advancements in graph database technology, such as graph algorithms, performance tuning, and scalability considerations. Whether you are a data scientist, database administrator, or developer, "Graph Databases: New Opportunities for Connected Data" will empower you to harness the full potential of graph databases to manage and analyze connected data effectively.

Key Points:

  • Comprehensive coverage of graph theory and database concepts
  • Practical guidance on modeling data as graphs and implementing graph databases
  • Real-world use cases demonstrating the advantages of graph databases
  • New chapters on graph algorithms, performance tuning, and scalability

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Writer                               Ian Robinson (Author), Webber Emil Eifrem

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