Complete Guide to Open Source Big Data Stack by Michael Frampton PAPERBACK
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Complete Guide to Open Source Big Data Stack\nby Michael Frampton\nPaperback\nEnglish\n\nDelivery\nUsually delivered in 2\u20133 working days (dispatched today if ordered before 3pm).\n\nBrand new copy from BookCurl \u2013 the UK independent online bookseller.\n\n------------------------------\nBook details\n------------------------------\nAuthor: Michael Frampton\nTitle: Complete Guide to Open Source Big Data Stack\nFormat: Paperback\nLanguage: English\nTopic: Databases\nPublisher: APress\nPublication year: 2018\nEdition: 1st ed.\nISBN-13: 9781484221488\nISBN-10: 1484221486\nRRP: \u00A339.99\n\n------------------------------\nDescription\n------------------------------\n\nThis book describes the creation of an actual generic open source big data stack, which is an integrated stack of big data components--each of which serves a specific function like storage, resource management, or queueing. Each component has a big data heritage and community to support it. It can support big .
Complete Guide to Open Source Big Data Stack by Michael Frampton PAPERBACK
Complete Guide to Open Source Big Data Stack\nby Michael Frampton\nPaperback\nEnglish\n\nDelivery\nUsually delivered in 2\u20133 working days (dispatched today if ordered before 3pm).\n\nBrand new copy from BookCurl \u2013 the UK independent online bookseller.\n\n------------------------------\nBook details\n------------------------------\nAuthor: Michael Frampton\nTitle: Complete Guide to Open Source Big Data Stack\nFormat: Paperback\nLanguage: English\nTopic: Databases\nPublisher: APress\nPublication year: 2018\nEdition: 1st ed.\nISBN-13: 9781484221488\nISBN-10: 1484221486\nRRP: \u00A339.99\n\n------------------------------\nDescription\n------------------------------\n\nThis book describes the creation of an actual generic open source big data stack, which is an integrated stack of big data components--each of which serves a specific function like storage, resource management, or queueing. Each component has a big data heritage and community to support it. It can support big .
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