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      Graph Databases in Action

      2 in stock

      Firm sale: non returnable item
      SKU 9781617296376 Categories ,

      Graph Databases in Action teaches readers everything they need to know to begin building and running applications powered by graph databases. Right off the bat, seasoned graph database experts introduce readers to just enough graph theory, the graph database ecosystem, and a variety of dat...

      £39.99

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      Description

      Product ID:9781617296376
      Product Form:Paperback / softback
      Country of Manufacture:GB
      Title:Graph Databases in Action
      Authors:Author: Dan Bechberger, Josh Perryman
      Page Count:350
      Subjects:Database design and theory, Database design & theory, Data warehousing, Data mining, Information architecture, Data warehousing, Data mining, Information architecture
      Description:

      Graph Databases in Action teaches readers everything they need to know to begin building and running applications powered by graph databases. Right off the bat, seasoned graph database experts introduce readers to just enough graph theory, the graph database ecosystem, and a variety of datastores. They also explore modelling basics in action with real-world examples, then go hands-on with querying, coding traversals, parsing results, and other essential tasks as readers build their own graph-backed social network app complete with a recommendation engine!

       

      Key Features

      ·   Graph database fundamentals

      ·   An overview of the graph database ecosystem

      ·   Relational vs. graph database modelling

      ·   Querying graphs using Gremlin

      ·   Real-world common graph use cases

       

      For readers with basic Java and application development skills building in RDBMS systems such as Oracle, SQL Server, MySQL, and Postgres. No experience with graph databases is required.

       

      About the technology

      Graph databases store interconnected data in a more natural form, making them superior tools for representing data with rich relationships. Unlike in relational database management systems (RDBMS), where a more rigid view of data connections results in the loss of valuable insights, in graph databases, data connections are first priority.

       

      Dave Bechberger has extensive experience using graph databases as a product architect and a consultant. He’s spent his career leveraging cutting-edge technologies to build software in complex data domains such as bioinformatics, oil and gas, and supply chain management. He’s an active member of the graph community and has presented on a wide variety of graph-related topics at national and international conferences.

       

      Josh Perryman is technologist with over two decades of diverse experience building and maintaining complex systems, including high performance computing (HPC) environments. Since 2014 he has focused on graph databases, especially in distributed or big data environments, and he regularly blogs and speaks at conferences about graph databases.


      Graph Databases in Action teaches readers everything they need to know to begin building and running applications powered by graph databases. Right off the bat, seasoned graph database experts introduce readers to just enough graph theory, the graph database ecosystem, and a variety of datastores. They also explore modelling basics in action with real-world examples, then go hands-on with querying, coding traversals, parsing results, and other essential tasks as readers build their own graph-backed social network app complete with a recommendation engine!

       

      Key Features

      ·   Graph database fundamentals

      ·   An overview of the graph database ecosystem

      ·   Relational vs. graph database modelling

      ·   Querying graphs using Gremlin

      ·   Real-world common graph use cases

       

      For readers with basic Java and application development skills building in RDBMS systems such as Oracle, SQL Server, MySQL, and Postgres. No experience with graph databases is required.

       

      About the technology

      Graph databases store interconnected data in a more natural form, making them superior tools for representing data with rich relationships. Unlike in relational database management systems (RDBMS), where a more rigid view of data connections results in the loss of valuable insights, in graph databases, data connections are first priority.

       

      Dave Bechberger has extensive experience using graph databases as a product architect and a consultant. He’s spent his career leveraging cutting-edge technologies to build software in complex data domains such as bioinformatics, oil and gas, and supply chain management. He’s an active member of the graph community and has presented on a wide variety of graph-related topics at national and international conferences.

       

      Josh Perryman is technologist with over two decades of diverse experience building and maintaining complex systems, including high performance computing (HPC) environments. Since 2014 he has focused on graph databases, especially in distributed or big data environments, and he regularly blogs and speaks at conferences about graph databases.


      Imprint Name:Manning Publications
      Publisher Name:Manning Publications
      Country of Publication:GB
      Publishing Date:2021-02-28

      Additional information

      Weight632 g
      Dimensions188 × 235 × 22 mm