Information Systems Management in the Big Data Era
Business & Finance, Industries & Professions, Information Management, Nonfiction, Computers, Database Management, General Computing
| Author: | Peter Lake, Robert Drake | ISBN: | 9783319135038 |
| Publisher: | Springer International Publishing | Publication: | January 12, 2015 |
| Imprint: | Springer | Language: | English |
| Author: | Peter Lake, Robert Drake |
| ISBN: | 9783319135038 |
| Publisher: | Springer International Publishing |
| Publication: | January 12, 2015 |
| Imprint: | Springer |
| Language: | English |
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.
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.
