LEADER 00000cam a22003977a 4500 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr cnu|||||||| 
008    040821s2020    xx      o     000 0 eng d 
024 8  9781786305558 
029 0  AU@|b000069704462 
029 1  AU@|b000074071959 
035    (OCoLC)1264230675 
040    AU@|beng|cAU@|dOCLCQ|dTOH|dOCLCQ|dOCLCL 
049    INap 
099    eBook O'Reilly for Public Libraries 
100 1  Schmitt, Eglantine,|eauthor. 
245 10 Big Data /|cSchmitt, Eglantine.|h[O'Reilly electronic 
       resource] 
250    1st edition. 
264  1 |bWiley-ISTE,|c2020. 
300    1 online resource (288 pages) 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file 
520    Manipulating and processing masses of digital data is 
       never a purely technical activity. It requires an 
       interpretative and exploratory outlook - already well 
       known in the social sciences and the humanities - to 
       convey intelligible results from data analysis algorithms 
       and create new knowledge. Big Data is based on an inquiry 
       of several years within Proxem, a software publisher 
       specializing in big data processing. The book examines how
       data scientists explore, interpret and visualize our 
       digital traces to make sense of them, and to produce new 
       knowledge. Grounded in epistemology and science and 
       technology studies, Big Data offers a reflection on data 
       in general, and on how they help us to better understand 
       reality and decide on our daily actions. 
542    |fCopyright © 2020 by John Wiley & Sons|g2020 
550    Made available through: Safari, an O'Reilly Media Company.
588    Online resource; Title from title page (viewed November 17,
       2020) 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
710 2  Safari, an O'Reilly Media Company. 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781786305558/?ar
       |zAvailable on O'Reilly for Public Libraries 
936    BATCHLOAD 
994    92|bJFN