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The book opens with a broad look at data management, including an overview of information systems and databases, and an explanation of contemporary database types:
SQL and NoSQL databases, and their respective management systems
The nature and uses of Big Data
A high-level view of the organization of data management
Data Modeling and Consistency
Chapter-length treatment is afforded Data Modeling in both relational and graph databases, including enterprise-wide data architecture, and formulas for database design. Coverage of languages extends from an overview of operators, to SQL and and QBE (Query by Example), to integrity constraints and more.
A full chapter probes the challenges of Ensuring Data Consistency, covering:
Multi-User Operation
Troubleshooting
Consistency in Massive Distributed Data
Comparison of the ACID and BASE consistency models, and more
System Architecture also gets from its own chapter, which explores Processing of Homogeneous and Heterogeneous Data; Storage and Access Structures; Multi-dimensional Data Structures and Parallel Processing with MapReduce, among other topics.
Post-Relational and NoSQL Databases
The chapter on post-relational databases discusses the limits of SQL and what lies beyond, including Multi-Dimensional Databases, Knowledge Bases and and Fuzzy Databases.
A final chapter covers NoSQL Databases, along with
Development of Non-Relational Technologies,
Key-Value, Column-Family and Document Stores
XML Databases and Graphic Databases, and more
The book includes more than 100 tables, examples and illustrations, and each chapter offers a list of resources for further reading.
SQL & NoSQL Databases conveys the strengths and weaknesses of relational and non-relational approaches, and shows how to undertake development for big data applications. The book benefits readers including students and practitioners working across the broad field of applied information technology.
This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.
The book opens with a broad look at data management, including an overview of information systems and databases, and an explanation of contemporary database types:
SQL and NoSQL databases, and their respective management systems
The nature and uses of Big Data
A high-level view of the organization of data management
Data Modeling and Consistency
Chapter-length treatment is afforded Data Modeling in both relational and graph databases, including enterprise-wide data architecture, and formulas for database design. Coverage of languages extends from an overview of operators, to SQL and and QBE (Query by Example), to integrity constraints and more.
A full chapter probes the challenges of Ensuring Data Consistency, covering:
Multi-User Operation
Troubleshooting
Consistency in Massive Distributed Data
Comparison of the ACID and BASE consistency models, and more
System Architecture also gets from its own chapter, which explores Processing of Homogeneous and Heterogeneous Data; Storage and Access Structures; Multi-dimensional Data Structures and Parallel Processing with MapReduce, among other topics.
Post-Relational and NoSQL Databases
The chapter on post-relational databases discusses the limits of SQL and what lies beyond, including Multi-Dimensional Databases, Knowledge Bases and and Fuzzy Databases.
A final chapter covers NoSQL Databases, along with
Development of Non-Relational Technologies,
Key-Value, Column-Family and Document Stores
XML Databases and Graphic Databases, and more
The book includes more than 100 tables, examples and illustrations, and each chapter offers a list of resources for further reading.
SQL & NoSQL Databases conveys the strengths and weaknesses of relational and non-relational approaches, and shows how to undertake development for big data applications. The book benefits readers including students and practitioners working across the broad field of applied information technology.
This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.
Henrik Stormer arbeitet als Chief Architekt bei der Firma Edorex Informatik AG. Vorher war er als Oberassistent an der Universität Fribourg angestellt. Er studierte Informatik mit NebenfachWirtschaftswissenschaften an der Universität des Saarlandes und promovierte anschliessend am Institut für Informatik der Universität Zürich. Seit mehreren Jahren beschäftigt er sich mit den Themen eBusiness und eCommerce und hat in diesen Bereichen sowohl in praktischen Projekten gearbeitet als auch wissenschaftliche Arbeiten geschrieben.
Explores relational (SQL) and non-relational (NoSQL) databases
Covers database management, modeling, languages, consistency, architecture and more
Extensively illustrated with more than 100 tables, examples and illustrations
| Erscheinungsjahr: | 2019 |
|---|---|
| Genre: | Informatik, Mathematik, Medizin, Naturwissenschaften, Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
xvi
229 S. 2 s/w Illustr. 111 farbige Illustr. 229 p. 113 illus. 111 illus. in color. |
| ISBN-13: | 9783658245481 |
| ISBN-10: | 3658245484 |
| Sprache: | Englisch |
| Herstellernummer: | 978-3-658-24548-1 |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Meier, Andreas
Kaufmann, Michael |
| Hersteller: |
Springer Gabler
Springer Fachmedien Wiesbaden GmbH |
| Verantwortliche Person für die EU: | Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, D-65189 Wiesbaden, juergen.hartmann@springer.com |
| Maße: | 240 x 168 x 14 mm |
| Von/Mit: | Andreas Meier (u. a.) |
| Erscheinungsdatum: | 16.07.2019 |
| Gewicht: | 0,423 kg |
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