Vendeur : Zubal-Books, Since 1961, Cleveland, OH, Etats-Unis
EUR 13,53
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Ajouter au panierEtat : Good. *Price HAS BEEN REDUCED by 10% until Monday, March 23 (weekend SALE item)* 350 pp., hardcover, ex library, else text clean and binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
EUR 5,84
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Ajouter au panierSoftcover. Etat : Très bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Edition 1992. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Slight signs of wear on the cover. Edition 1992. Ammareal gives back up to 15% of this item's net price to charity organizations.
ISBN 10 : 7560649610 ISBN 13 : 9787560649610
Vendeur : liu xing, Nanjing, JS, Chine
EUR 66,73
Quantité disponible : 5 disponible(s)
Ajouter au panierpaperback. Etat : New. Language:Chinese.Paperback. Pub Date: 2018-08-01 Publisher: Xi'an University of Electronic Science and Technology Press book based on the problem of inefficient when dealing with large data non-Internet industry. the current field of public security and traffic management using the Hadoop technology. cloud-based day star database ( SCSDB) structured large data distributed parallel processing technology were introduced. The book has 7 chapters. including .
ISBN 10 : 7560649629 ISBN 13 : 9787560649627
Vendeur : liu xing, Nanjing, JS, Chine
EUR 66,73
Quantité disponible : 5 disponible(s)
Ajouter au panierpaperback. Etat : New. Paperback. Pub Date: 2018-07-01 Pages: 231 Language: Chinese Publisher: Xi'an University of Electronic Science and Technology Press big data distributed parallel processing technology: large data processing based traffic management Tianyun Star database based on current traffic police management field use Hadoop technology exists when dealing with large data non-Internet industry low .