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Sto caricando le informazioni... Big Data: A Very Short Introduction (Very Short Introductions)di Dawn E. Holmes
   Big Data (16) Sto caricando le informazioni...
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Appartiene alle Serie
"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."-- Non sono state trovate descrizioni di biblioteche |
Discussioni correntiNessunoCopertine popolari  
 Google Books — Sto caricando le informazioni...GeneriSistema Decimale Melvil (DDC)005.7Information Computing and Information Computer programming, programs, data, security DataClassificazione LCVotoMedia: (3.33)
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1. It takes a fascinating topic and makes it boring
2. It’s sloppy in the use of technical terminology and ideas e.g. after providing an inaccurate definition of “phishing”, the author states: “But the main problem facing big data [as opposed to things like phishing] is that of hacking” Phishing IS a type of hacking, which is a general term for security attacks. or e.g. RFIDs are not yet ready for tracking to the extent claimed in the book, even four years later
3. It only briefly discusses the vast and important topic of machine learning and its relationship to big data
4. It spends way too much time on IT topics not specifically related to big data (e.g. Snowden and Assange)
5. It’s discussion of Facebook and Google advertising only briefly mentions some of the burning issues around privacy. The fact that this book is 4 years old is no excuse, because criticisms discussed in general media today, were actively discussed for years in more technical circles. And isn’t the idea of these books to bring expert knowledge to a wider audience?
Tl;dr this book is a terrible introduction to big data and another miss in the VSI series (