Big Data

Since long before computers were even thought of, data has been collected and organized by diverse cultures across the world. Once access to the Internet became a reality for large swathes of the world's population, the amount of data generated each day became huge, and continues to grow exponentially. It includes all our uploaded documents, video, and photos, all our social media traffic, our online shopping, even the GPS data from our cars. 'Big Data' represents a qualitative change, not simply a quantitative one. The term refers both to the new technologies involved, and to the way it can be used by business and government. Dawn E. Holmes uses a variety of case studies to explain how data is stored, analysed, and exploited by a variety of bodies from big companies to organizations concerned with disease control. Big data is transforming the way businesses operate, and the way medical research can be carried out. At the same time, it raises important ethical issues; Holmes discusses cases such as the Snowden affair, data security, and domestic smart devices which can be hijacked by hackers. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.

Dettagli sul prodotto

• Autori: Dawn E. Holmes, Holmes Dawn E.
• Editore: Oxford University Press Trade
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 30.11.2017
• EAN: 9780198779575
• ISBN: 978-0-19-877957-5
• Dimensioni: 113 mm x 175 mm x 7 mm
• Serie: Very Short Introductions; A VERY SHORT INTRODUCTION; A Very Short Introductions; A VERY SHORT INTRODUCTION; Very Short Introductions; A Very Short Introductions; Very Short Introduction
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica; Data Mining, COMPUTERS / Computer Science, Data analysis: general, Data science and analysis: general, COMPUTERS / Data Science / Data Analytics, Data capture and analysis, Data Capture & Analysis