Dev Dipayan (27 results)
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Paperback or Softback. Condition: New. Deep Learning with Hadoop. Book.
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- Softcover
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- Softcover
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- Softcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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Paperback. Condition: Brand New. 84 pages. 8.66x5.91x0.19 inches. In Stock.
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. A Hand Book on Hadoop : Real World Approach for Infinite Scalability | Dipayan Dev | Taschenbuch | 84 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659890840 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de |… Anbieter: preigu.
- Softcover
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- Softcover
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
- Softcover
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Seller: Majestic Books, Hounslow, , United KingdomMajestic Books
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Language: English
Published by LAP LAMBERT Academic Publishing Mai 2016 2016
- Softcover
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this Exa byte scale era, data increases at an exponential rate. This is in turn generating a massive amount of metadata in the file system. Hadoop is the most widely used framework to deal with big data. Due to this growth of hug…e amount of metadata, however, the efficiency of Hadoop is questioned numerous times by many researchers. Therefore, it is essential to create an efficient and scalable metadata management for Hadoop. The book principally deals with the Single Point of Failure (SPOF) of Hadoop by providing a suitable distributed metadata management. This book presents a circular Metadata management mechanism named Dynamic Circular Metadata Splitting (DCMS). DCMS preserves metadata locality using consistent hashing as well as locality-preserving hashing, keeps replicated metadata for excellent reliability, as well as dynamically distributes metadata among the NameNodes to keep load balancing. DCMS removes Hadoop's SPOF as well as provides an efficient and scalable metadata management. This book demonstrates the various experiments with DCMS, and shows how the new framework is an improved solution compared to the existing one, both mathematically and theoretically. 84 pp. Englisch.
- Softcover
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Seller: Majestic Books, Hounslow, , United KingdomMajestic Books
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- Softcover
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Seller: THE SAINT BOOKSTORE, Southport, , United KingdomTHE SAINT BOOKSTORE
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Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
- Softcover
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Softcover
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Seller: moluna, Greven, , Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dev DipayanDipayan Dev is adept in big data, cloud computing and especially in Hadoop framework. He has completed his M.Tech from National Institute of Technology Silchar, and now working as software pr…ofessional in Bangalore, India.
Language: English
Published by LAP LAMBERT Academic Publishing Mai 2016 2016
- Softcover
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this Exa byte scale era, data increases at an exponential rate. This is in turn generating a massive amount of metadata in the file system. Hadoop is the most widely used framework to deal with big data. Due to this growth of huge am…ount of metadata, however, the efficiency of Hadoop is questioned numerous times by many researchers. Therefore, it is essential to create an efficient and scalable metadata management for Hadoop. The book principally deals with the Single Point of Failure (SPOF) of Hadoop by providing a suitable distributed metadata management. This book presents a circular Metadata management mechanism named Dynamic Circular Metadata Splitting (DCMS). DCMS preserves metadata locality using consistent hashing as well as locality-preserving hashing, keeps replicated metadata for excellent reliability, as well as dynamically distributes metadata among the NameNodes to keep load balancing. DCMS removes Hadoop's SPOF as well as provides an efficient and scalable metadata management. This book demonstrates the various experiments with DCMS, and shows how the new framework is an improved solution compared to the existing one, both mathematically and theoretically.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this Exa byte scale era, data increases at an exponential rate. This is in turn generating a massive amount of metadata in the file system. Hadoop is the most widely used framework to deal with big data. Due to this growth of huge amo…unt of metadata, however, the efficiency of Hadoop is questioned numerous times by many researchers. Therefore, it is essential to create an efficient and scalable metadata management for Hadoop. The book principally deals with the Single Point of Failure (SPOF) of Hadoop by providing a suitable distributed metadata management. This book presents a circular Metadata management mechanism named Dynamic Circular Metadata Splitting (DCMS). DCMS preserves metadata locality using consistent hashing as well as locality-preserving hashing, keeps replicated metadata for excellent reliability, as well as dynamically distributes metadata among the NameNodes to keep load balancing. DCMS removes Hadoop's SPOF as well as provides an efficient and scalable metadata management. This book demonstrates the various experiments with DCMS, and shows how the new framework is an improved solution compared to the existing one, both mathematically and theoretically.
- Softcover
- Print on Demand
Seller: moluna, Greven, , Germanymoluna
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
More images- Softcover
- Print on Demand
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Deep Learning with Hadoop | Dipayan Dev | Taschenbuch | Kartoniert / Broschiert | Englisch | 2017 | Packt Publishing | EAN 9781787124769 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
