The Practitioner's Guide to Graph Data : applying graph thinking and graph technologies to solve complex problems
Material type:
TextPublication details: Mumbai Shroff Pub 2020Description: xvii,397pISBN: 9788194435051Subject(s): Database Schema | Graph Theory | Data AnalysisDDC classification: 005.74 Summary: Graph data closes the gap between the way humans and computers view the world. While computers rely on static rows and columns of data, people navigate and reason about life through relationships. This practical guide demonstrates how graph data brings these two approaches together. 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.
Authors Denise Koessler Gosnell and Matthias Broecheler show data engineers, data scientists, and data analysts how to solve complex problems with graph databases. You'll explore templates for building with graph technology, along with examples that demonstrate how teams think about graph data within an application.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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BK
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Kannur University Central Library Stack | Stack | 005.74 GOS/P (Browse shelf (Opens below)) | Available | 68227 |
Graph data closes the gap between the way humans and computers view the world. While computers rely on static rows and columns of data, people navigate and reason about life through relationships. This practical guide demonstrates how graph data brings these two approaches together. 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.
Authors Denise Koessler Gosnell and Matthias Broecheler show data engineers, data scientists, and data analysts how to solve complex problems with graph databases. You'll explore templates for building with graph technology, along with examples that demonstrate how teams think about graph data within an application.
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