Information Systems Management in the Big Data Era

This timely text/reference explores the business and technical issues involved in the management of information systems in the era of big data and beyond. Topics and features: presents review questions and discussion topics in each chapter for classroom group work and individual research assignments; discusses the potential use of a variety of big data tools and techniques in a business environment, explaining how these can fit within an information systems strategy; reviews existing theories and practices in information systems, and explores their continued relevance in the era of big data; describes the key technologies involved in information systems in general and big data in particular, placing these technologies in an historic context; suggests areas for further research in this fast moving domain; equips readers with an understanding of the important aspects of a data scientist's job; provides hands-on experience to further assist in the understanding of the technologies involved.

Explains, with examples, both business and technical issues in the management of information systems Suitable as a supporting text for a module on modern information systems Presents review questions and discussion topics in each chapter for classroom group work and individual research assignments Includes supplementary material: sn.pub/extras

Autorentext

Peter Lake is a Principal Lecturer at Sheffield Hallam University. Formerly the Technical Director of a software house, he has 30 years of industrial experience as well as 15 years as a lecturer specialising in database technology. His other Springer publications include the successful titles Concise Guide to Databases and Guide to Cloud Computing. Robert Drake is also a Lecturer at Sheffield Hallam University, and has prior experience as Regional Director of Allocate Software, Kuala Lumpur, Malaysia.

Inhalt

Introducing Big Data.- Strategy.- Structure.- Style.- Staff.- Statistical Thinking.- Synthesis.- Systems.- Sources.- Security.- Technical Insights.- The Future of IS in the Era of Big Data.