Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Zikopoulos, Paul,Eaton, Chris,Zikopoulos, Ibm, Paul C
ISBN 10: 0071790535 ISBN 13: 9780071790536
Verlag: McGraw-Hill Osborne, 2011
Gebraucht
Softcover
Verkäufer
WeBuyBooks, Rossendale, LANCS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
AbeBooks-Verkäufer seit 14. November 2005
Dieser Artikel ist nicht mehr verfügbar.
Beschreibung
Beschreibung:
Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Bestandsnummer des Verkäufers wbb0022652471
Inhaltsangabe:
Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform.
The three defining characteristics of Big Data--volume, variety, and velocity--are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide.
- Learn how IBM hardens Hadoop for enterprise-class scalability and reliability
- Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform
- Learn tips and tricks for Big Data use cases and solutions
- Get a quick Hadoop primer
Über die Autorinnen und Autoren:
Paul C. Zikopoulos (Toronto, Canada) is a Database Specialist with the DB2 Sales Support team at IBM. He has written numerous magazine articles and books about DB2. Most recently, he co-authored the books A DBA's Guide to Databases on Linux (Syngress Media) and DB2 for Dummies (IDG Books). Zikopoulos is a DB2 Certified Advanced Technical Expert (DRDA and Cluster/EEE) and a DB2 Certified Solutions Expert (Business Intelligence and Database Administration).
McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide
McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Bibliografische Details
Titel: Understanding Big Data: Analytics for ...
Verlag: McGraw-Hill Osborne
Erscheinungsdatum: 2011
Einband: Softcover
Zustand: Very Good
Beste Suchergebnisse beim ZVAB
Beispielbild für diese ISBN
Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Verlag:
McGraw-Hill Osborne Media, 2011
ISBN 10: 0071790535
ISBN 13: 9780071790536
Gebraucht
Softcover
Anbieter: medimops, Berlin, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. Artikel-Nr. M00071790535-V
Gebraucht kaufen
EUR 2,76
EUR 105,00 shipping
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Anbieter: Bahamut Media, Reading, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Artikel-Nr. 6545-9780071790536
Gebraucht kaufen
EUR 3,97
EUR 7,95 shipping
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Anbieter: AwesomeBooks, Wallingford, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Very Good. Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Artikel-Nr. 7719-9780071790536
Gebraucht kaufen
EUR 3,97
EUR 5,68 shipping
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: 2 verfügbar
Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Verlag:
McGraw Hill Professional, 2011
ISBN 10: 0071790535
ISBN 13: 9780071790536
Gebraucht
Softcover
Anbieter: Bookbot, Prague, Tschechien
Verkäuferbewertung 5 von 5 Sternen
Softcover. Zustand: As New. Leichte Abnutzungen. Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data--volume, variety, and velocity--are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide. Learn how IBM hardens Hadoop for enterprise-class scalability and reliability Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform Learn tips and tricks for Big Data use cases and solutions Get a quick Hadoop primer. Artikel-Nr. dc4c2176-8a42-4c1b-b318-1fcdb22cbad9
Gebraucht kaufen
EUR 4,39
EUR 18,99 shipping
Versand von Tschechien nach USA
Versand von Tschechien nach USA
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Verlag:
McGraw-Hill Osborne Media, 2011
ISBN 10: 0071790535
ISBN 13: 9780071790536
Gebraucht
Paperback
Anbieter: ThriftBooks-Dallas, Dallas, TX, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Artikel-Nr. G0071790535I4N00
Gebraucht kaufen
EUR 5,61
Versand gratis
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Verlag:
McGraw-Hill Osborne, 2011
ISBN 10: 0071790535
ISBN 13: 9780071790536
Gebraucht
Softcover
Erstausgabe
Anbieter: Better World Books, Mishawaka, IN, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: Good. 1st Edition. Used book that is in clean, average condition without any missing pages. Artikel-Nr. 4640355-75
Gebraucht kaufen
EUR 6,43
Versand gratis
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Verlag:
McGraw-Hill Osborne, 2011
ISBN 10: 0071790535
ISBN 13: 9780071790536
Gebraucht
Softcover
Erstausgabe
Anbieter: Better World Books, Mishawaka, IN, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: Very Good. 1st Edition. Used book that is in excellent condition. May show signs of wear or have minor defects. Artikel-Nr. 6011814-6
Gebraucht kaufen
EUR 6,43
Versand gratis
Versand innerhalb von USA
Versand innerhalb von USA
Anzahl: 1 verfügbar