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paperback. Zustand: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Anbieter: Wm Burgett Bks and Collectibles, San diego, CA, USA
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Paperback. Zustand: Near Fine. First Edition. CLEAN near fine 2015 paperback.
Anbieter: Shakespeare Book House, Rockford, IL, USA
Zustand: new.
Anbieter: GoldBooks, Denver, CO, USA
Paperback. Zustand: new. New Copy. Customer Service Guaranteed.
Anbieter: Bookbot, Prague, Tschechien
Softcover. Zustand: As New. Leichte Kratzer / Abnutzungen / Druckstellen. Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply into this technology. But no one is looking at the larger architectural picture of how Big Data needs to fit within the existing systems (data warehousing systems). Taking a look at the larger picture into which Big Data fits gives the data scientist the necessary context for how pieces of the puzzle should fit together. Most references on Big Data look at only one tiny part of a much larger whole. Until data gathered can be put into an existing framework or architecture it can't be used to its full potential. Data Architecture a Primer for the Data Scientist addresses the larger architectural picture of how Big Data fits with the existing information infrastructure, an essential topic for the data scientist. Drawing upon years of practical experience and using numerous examples and an easy to understand framework. W.H. Inmon, and Daniel Linstedt define the importance of data architecture and how it can be used effectively to harness big data within existing systems. You'll be able to: Turn textual information into a form that can be analyzed by standard tools. Make the connection between analytics and Big Data Understand how Big Data fits within an existing systems environment Conduct analytics on repetitive and non-repetitive data.
Zustand: New.
Zustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: Morgan Kaufmann 2014-11-26, 2014
ISBN 10: 012802044X ISBN 13: 9780128020449
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
EUR 45,57
Anzahl: Mehr als 20 verfügbar
In den WarenkorbPaperback. Zustand: New.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 57,07
Anzahl: 3 verfügbar
In den WarenkorbZustand: New.
Verlag: Prisma., 2018
Anbieter: Alcaná Libros, Madrid, M, Spanien
tapa blanda. Zustand: Bien. Historia.(93) Prisma. Barcelona. 2018. Encuadernación en tapa blanda de editorial. Cubierta deslucida. (=3400825=) JX19.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 51,51
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In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 378 pages. 9.50x7.50x0.75 inches. In Stock.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 60,28
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In den WarenkorbZustand: New. In English.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 69,33
Anzahl: 3 verfügbar
In den WarenkorbZustand: New. pp. 450.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 60,27
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In den WarenkorbZustand: New.
Zustand: New.
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New.
Sprache: Englisch
Verlag: Elsevier Science & Technology, 2014
ISBN 10: 012802044X ISBN 13: 9780128020449
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
EUR 58,93
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In den WarenkorbPaperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days.
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. pp. 184.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 66,39
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: As New. Unread book in perfect condition.
Anbieter: BargainBookStores, Grand Rapids, MI, USA
Hardback or Cased Book. Zustand: New. Big Data: A Primer. Book.
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. pp. 450.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2015
ISBN 10: 8132224930 ISBN 13: 9788132224938
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 78,97
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 2015 edition. 200 pages. 9.50x6.25x0.75 inches. In Stock.
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. pp. 450.
Sprache: Englisch
Verlag: Springer India, Springer India, 2016
ISBN 10: 8132235673 ISBN 13: 9788132235675
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the field of big data handling. The traditional framework of relational databases can no longer provide appropriate solutions for handling big data and making it available and useful to users scattered around the globe. The study of big data covers a wide range of issues including management of heterogeneous data, big data frameworks, change management, finding patterns in data usage and evolution, data as a service, service-generated data, service management, privacy and security. All of these aspects are touched upon in this book. It also discusses big data applications in different domains. The book will prove useful to students, researchers, and practicing database and networking engineers.
Taschenbuch. Zustand: Neu. Big Data | A Primer | Hrushikesha Mohanty (u. a.) | Taschenbuch | Studies in Big Data | xiv | Englisch | 2016 | Springer | EAN 9788132235675 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the field of big data handling. The traditional framework of relational databases can no longer provide appropriate solutions for handling big data and making it available and useful to users scattered around the globe. The study of big data covers a wide range of issues including management of heterogeneous data, big data frameworks, change management, finding patterns in data usage and evolution, data as a service, service-generated data, service management, privacy and security. All of these aspects are touched upon in this book. It also discusses big data applications in different domains. The book will prove useful to students, researchers, and practicing database and networking engineers.
Zustand: New.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 102,78
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 184 pages. 9.25x6.10x1.06 inches. In Stock.
Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the field of big data handling. The traditional framework of relational databases can no longer provide appropriate solutions for handling big data and making it available and useful to users scattered around the globe. The study of big data covers a wide range of issues including management of heterogeneous data, big data frameworks, change management, finding patterns in data usage and evolution, data as a service, service-generated data, service management, privacy and security. All of these aspects are touched upon in this book. It also discusses big data applications in different domains. The book will prove useful to students, researchers, and practicing database and networking engineers.