Stock up on textbooks with 40% off + FREE shipping or choose from thousands of Protocols eBooks at just 9.99 each!

SQL & NoSQL Databases

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

Authors: Meier, Andreas, Kaufmann, Michael

Free Preview
  • 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
see more benefits

Buy this book

eBook 35,69 €
price for Spain (gross)
  • ISBN 978-3-658-24549-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 43,73 €
price for Spain (gross)
  • ISBN 978-3-658-24548-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this Textbook

This book offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques, and examine coming innovations.

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.


About the authors

Andreas Meier is a former member of the Faculty of Economics and Social Science and was a professor of Information Technology at the University of Fribourg. He specializes in electronic business, electronic government, and information management. He is member of the GI (Gesellschaft für Informatik), IEEE Computer Society, and ACM. After studying music in Vienna, he graduated with a degree in mathematics at the Federal Institute of Technology (ETH) in Zurich, studied his doctorate, and qualified as a university lecture at the Institute of Computer Science. He was a systems engineer at the IBM research lab in San José, California, director of an international bank, and a member of the executive board of an insurance company. 

Michael Kaufmann is a Professor of Data Science and Big Data at the School of Information Technology, Lucerne University of Applied Sciences and Arts.  He is also the coordinator of the university´s Data Intelligence research team, which develops and studies methods and technologies for intelligent data management. Michael Kaufmann studied computer science, law and psychology at the University of Fribourg. With extra-occupational doctoral studies, he received his Ph.D. in computer science on the topic of inductive fuzzy classification in marketing analytics. He worked at PostFinance as a data warehouse poweruser in corporate development; Later on at Mobiliar Insurance as a data architect in the enterprise architecture unit; and as a business analyst at FIVE Informatik AG, where he initiated and led a research project and started teaching as a part time lecturer at Kalaidos University of Applied Science. Since 2014 he has been working at the Lucerne University of Applied Sciences and Arts in teaching and research as a lecturer for databases, where he founded and successfully funded the research team data intelligence. 

Table of contents (7 chapters)

Table of contents (7 chapters)

Buy this book

eBook 35,69 €
price for Spain (gross)
  • ISBN 978-3-658-24549-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 43,73 €
price for Spain (gross)
  • ISBN 978-3-658-24548-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
SQL & NoSQL Databases
Book Subtitle
Models, Languages, Consistency Options and Architectures for Big Data Management
Authors
Copyright
2019
Publisher
Springer Vieweg
Copyright Holder
Springer Fachmedien Wiesbaden GmbH, part of Springer Nature
eBook ISBN
978-3-658-24549-8
DOI
10.1007/978-3-658-24549-8
Softcover ISBN
978-3-658-24548-1
Edition Number
1
Number of Pages
XVI, 229
Number of Illustrations
2 b/w illustrations, 111 illustrations in colour
Topics