Détails du livre
Téléversé par : Isaac NDJENG
Collection : Springer Vieweg (Springer Nature)
Date de mise à jour : Sun, 21-Dec-2025
Nom de la catégorie : Technologie & Informatique
This book provides a comprehensive and comparative exploration of SQL and NoSQL ecosystems within a Big Data context. Written by two recognized university experts, it offers a structured, rigorous, and practical framework for understanding modern data models, query languages, and distributed architectures.
The content covers the entire data management lifecycle: relational modeling, document and graph models, SQL and NoSQL query languages, data consistency principles, the CAP theorem, ACID/BASE transactions, distributed system architectures, sharding strategies, and all major NoSQL families. This progressive approach enables readers to build a clear and operational understanding of how contemporary data systems function and how they scale while maintaining performance and consistency.
The book is designed for both students and professionals: developers, architects, database administrators, and anyone involved in designing or improving data-intensive systems. It equips readers with the analytical tools required to make informed decisions between SQL and NoSQL technologies through practical comparisons, conceptual clarity, and best practices in large-scale data management.
Original Title: SQL & NoSQL Databases: Models, Languages, Consistency Options and Architectures for Big Data Management
Authors: Andreas Meier, Michael Kaufmann
Publisher: Springer Vieweg (Springer Nature)
1st Edition: 2019
2nd Edition: 2023
Page Count:
1st edition: approx. 229 pages
2nd edition: approx. 254–268 pages
Language: English
Translation: Anja Kreutel
This book stands as a strategic resource for anyone aiming to strengthen their understanding of modern database technologies and make sound architecture decisions in Big Data environments. With unlimited access provided by Big Data Consult, it becomes a long-term, reliable reference for building strong expertise.
| Titre | SQL & NoSQL Mastery: The Strategic Guide to Architecting Big Data Systems | |
|---|---|---|
| Producteur du contenu | Isaac NDJENG | |
| Collection | Springer Vieweg (Springer Nature) | |
| Edition : | Springer Gabler | |
| Nombre de page | 238 | |
2500 FCFA
Isaac NDJENG est le fondateur de BIG DATA CONSULT, expert en reporting financier et Business Intelligence. Fort de son expérience dans les BIG 4 et certifié en Business Analytics, il accompagne les entreprises dans la valorisation de leurs données et la montée en compétences digitales en Afrique francophone.
Étudiez n'importe quel sujet, à tout moment. Explorez des milliers de cours au prix le plus bas de tous les temps !
