Neo4j Graph Data Modelling. Design efficient and flexible databases by optimizing the power of Neo4j Mahesh K Lal

Neo4j Graph Data Modelling. Design efficient and flexible databases by optimizing the power of Neo4j Mahesh K Lal - okladka książki

Autor:: Mahesh K Lal
Serie wydawnicze:: Learning
Wydawnictwo:: Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:: Bądź pierwszym, który oceni tę książkę
Stron:: 138
Dostępne formaty::      PDF

     ePub

     Mobi

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Do przechowalni

If you are a developer who wants to understand the fundamentals of modeling data in Neo4j and how it can be used to model full-fledged applications, then this book is for you. Some understanding of domain modeling may be advantageous but is not essential.

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O autorze książki

Mahesh Lal is a developer who has experience with various technologies. In 2011, while working on a social network for a client, he discovered the power of graphs, specifically Neo4j. Since then, he has been working with multiple clients across various domains for modeling their data as a graph. Currently working for ThoughtWorks, India, he is trying to help his clients look at their search problems in the form of a graph.

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Szczegóły książki

Tytuł oryginału:: Neo4j Graph Data Modelling. Design efficient and flexible databases by optimizing the power of Neo4j
ISBN Ebooka:: 978-17-843-9730-2, 9781784397302
Data wydania ebooka :: 2015-07-27 Data wydania ebooka często jest dniem wprowadzenia tytułu do sprzedaży i może nie być równoznaczna z datą wydania książki papierowej. Dodatkowe informacje możesz znaleźć w darmowym fragmencie. Jeśli masz wątpliwości skontaktuj się z nami sklep@ebookpoint.pl.
Język publikacji:: angielski
Rozmiar pliku Pdf:: 3.5MB
Rozmiar pliku ePub:: 8.3MB
Rozmiar pliku Mobi:: 20.7MB

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Serie wydawnicze: Learning

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Spis treści książki

1. Everything is a Graph
2. Designing a Trip
3. Traversing the graph
4. Building Chains and Hyperedges
5. Breaking into RDBMS Domains
6. Creating access control lists
7. Complex queries for strategic goals
8. Recommendations
9. Conclusion

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