The Essential Criteria of Graph Databases

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Éditeur :

Elsevier Science


Paru le : 2024-01-18

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Description
Although AI has incredible potential, it has three weak links: 1. Blackbox, lack of explainability2. Silos, slews of siloed systems across the AI ecosystem3. Low-performance, most of ML/DL based AI systems are SLOW.Fixing these problems will pave the road to strong and effective AI. Graph databases, particularly high-performance graph database or graph computing, should allow this to happen.The Essential Criteria of Graph Databases simply broadens the horizon of graph applications. The book collects several truly innovative graph applications in asset-liability and liquidity risk management, which hopefully will spark readers' interest in further broaden the reach and applicable domains of graph systems. - Presents updates on the essential criteria of graph database(s) and how they are quite different from traditional relational database or other types of NoSQL DBMS or any of those big-data frameworks (i.e., Hadoop, Spark, etc.) - Clearly points out the key criteria that readers should pay attention to - Teaches users how to avoid common mistakes and how to get hands-on with system architecture design, benchmarking or selection of an appropriate graph platform/vendor-system
Pages
300 pages
Collection
n.c
Parution
2024-01-18
Marque
Elsevier Science
EAN papier
9780443141621
EAN PDF
9780443141638

Informations sur l'ebook
Nombre pages copiables
30
Nombre pages imprimables
30
Taille du fichier
41728 Ko
Prix
137,15 €
EAN EPUB SANS DRM
9780443141638

Informations sur l'ebook
Prix
137,15 €

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