logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Big data now: Current perspectives from O'Reilly Radar by O'Reilly Radar Team ISBN 9781449315184, 1449315186

  • SKU: EBN-4139628
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

4.6

26 reviews
Instant download (eBook) Big data now: Current perspectives from O'Reilly Radar after payment.
Authors:O'Reilly Radar Team
Pages:112 pages.
Year:2011
Editon:1
Publisher:O'Reilly Media
Language:english
File Size:8.96 MB
Format:pdf
ISBNS:9781449315184, 1449315186
Categories: Ebooks

Product desciption

(Ebook) Big data now: Current perspectives from O'Reilly Radar by O'Reilly Radar Team ISBN 9781449315184, 1449315186

This collection represents the full spectrum of data-related content we’ve published on O’Reilly Radar over the last year. Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly a year later, we can look back over all we’ve covered and identify a number of core data areas:
Data issues — The opportunities and ambiguities of the data space are evident in discussions around privacy, the implications of data-centric industries, and the debate about the phrase “data science” itself.
The application of data: products and processes — A “data product” can emerge from virtually any domain, including everything from data startups to established enterprises to media/journalism to education and research.
Data science and data tools — The tools and technologies that drive data science are of course essential to this space, but the varied techniques being applied are also key to understanding the big data arena.
The business of data — Take a closer look at the actions connected to data — the finding, organizing, and analyzing that provide organizations of all sizes with the information they need to compete.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products