SQL & NoSQL databases

Models, Languages, Consistency Options and Architectures for Big Data Management

Auteurs

• Andreas Meier

Paramètres

• 248 pages
• 9 heures de lecture

• Informatique, programmation

En savoir plus sur le livre

This book provides a thorough introduction to relational (SQL) and non-relational (NoSQL) databases, reviewing current tools and techniques while exploring future innovations. It begins with a broad overview of data management, covering information systems, contemporary database types, and their management systems. The text delves into Big Data, data management organization, and offers in-depth discussions on Data Modeling and Consistency in both relational and graph databases, including enterprise-wide architecture and database design formulas. Language coverage includes operators, SQL, QBE (Query by Example), and integrity constraints. A dedicated chapter addresses the challenges of ensuring data consistency, tackling multi-user operations, troubleshooting in massive distributed data, and comparing ACID and BASE models. System Architecture is also explored, focusing on homogeneous and heterogeneous data processing, storage structures, multi-dimensional data, and parallel processing with MapReduce. The section on post-relational databases examines SQL limitations and introduces Multi-Dimensional Databases, Knowledge Bases, and Fuzzy Databases. The final chapter covers NoSQL technologies, including Key-Value, Column-Family, Document Stores, XML, and Graph Databases. With over 100 tables, examples, and resources for further reading, this textbook is beneficial for students and practitioners in applied information technology, an

Achat du livre

• Année de publication: 2019
• Reliure: (souple)