Verwandte Artikel zu Big Data:Principles and best practices of scalable...
Inhaltsangabe
Services like social networks, web analytics, and intelligent e-commerce often need to manage data at a scale too big for a traditional database. As scale and demand increase, so does Complexity. Fortunately, scalability and simplicity are not mutually exclusive― rather than using some trendy technology, a different approach is needed. Big data systems use many machines working in parallel to store and process data, which introduces fundamental challenges unfamiliar to most developers.
Big Data shows how to build these systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy to understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to use them in practice, and how to deploy and operate them once they're built.
AUDIENCE
This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful.
ABOUT THE TECHNOLOGY
To tackle the challenges of Big Data, a new breed of technologies has emerged. Many of which have been grouped under the term "NoSQL." In some ways these new technologies can be more complex than traditional databases and in other ways, simpler. Using them effectively requires a fundamentally new set of techniques
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Nathan Marz is an engineer at Twitter. He was previously Lead Engineer at BackType, a marketing intelligence company that was acquired by Twitter in July of 2011. He is the author of two major open source projects: Storm, a distributed realtime computation system, and Cascalog, a tool for processing data on Hadoop. He is a frequent speaker and writes a blog at nathanmarz.com. James Warren is an analytics architect at Storm8 with a background in big data processing, machine learning and scientific computing.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
- VerlagManning Publications
- Erscheinungsdatum2015
- ISBN 10 1617290343
- ISBN 13 9781617290343
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten328
- Kontakt zum HerstellerNicht verfügbar
Gebraucht kaufen
Zustand: BefriedigendBefriedigend/Good: Durchschnittlich...
Diesen Artikel anzeigen
EUR 6,13
Gratis für den Versand innerhalb von/der Deutschland
Versandziele, Kosten & DauerNeu kaufen
Diesen Artikel anzeigen
EUR 26,40
Gratis für den Versand von USA nach Deutschland
Versandziele, Kosten & DauerSuchergebnisse für Big Data:Principles and best practices of scalable...
Beispielbild für diese ISBN
Big Data:Principles and best practices of scalable realtime data systems
Anbieter: medimops, Berlin, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present. Bestandsnummer des Verkäufers M01617290343-G
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Big Data:Principles and best practices of scalable realtime data systems
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Good. The book has been read but remains in clean condition. All pages are intact and the cover is intact. Some minor wear to the spine. Bestandsnummer des Verkäufers GOR013113742
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Big Data:Principles and best practices of scalable realtime data systems
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Very Good. The book 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 GOR007665332
Anzahl: 8 verfügbar
Beispielbild für diese ISBN
Big Data: Principles and best practices of scalable realtime data systems
Verlag:
Manning Publications 10/05/2015, 2015
ISBN 10: 1617290343
ISBN 13: 9781617290343
Gebraucht
Paperback
Anbieter: Bahamut Media, Reading, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee. Bestandsnummer des Verkäufers 6545-9781617290343
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Big Data: Principles and best practices of scalable realtime data systems
Anbieter: AwesomeBooks, Wallingford, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Very Good. Big Data: Principles and best practices of scalable realtime data systems 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. . Bestandsnummer des Verkäufers 7719-9781617290343
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Big Data: Principles and best practices of scalable realtime data systems
Anbieter: Goldstone Books, Llandybie, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Very Good. All orders are dispatched within one working day from our UK warehouse. We've been selling books online since 2004! We have over 750,000 books in stock. No quibble refund if not completely satisfied. Bestandsnummer des Verkäufers mon0005773072
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Big Data: Principles and best practices of scalable realtime data systems
Anbieter: Brit Books, Milton Keynes, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
Paperback. Zustand: Used; Very Good. ***Simply Brit*** Welcome to our online used book store, where affordability meets great quality. Dive into a world of captivating reads without breaking the bank. We take pride in offering a wide selection of used books, from classics to hidden gems, ensuring there is something for every literary palate. All orders are shipped within 24 hours and our lightning fast-delivery within 48 hours coupled with our prompt customer service ensures a smooth journey from ordering to delivery. Discover the joy of reading with us, your trusted source for affordable books that do not compromise on quality. Bestandsnummer des Verkäufers 4220490
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Big Data: Principles and Best Practices of Scalable Realtime Data Systems
Anbieter: ThriftBooks-Reno, Reno, NV, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.3. Bestandsnummer des Verkäufers G1617290343I3N00
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Big Data: Principles and Best Practices of Scalable Realtime Data Systems
Anbieter: ThriftBooks-Dallas, Dallas, TX, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.3. Bestandsnummer des Verkäufers G1617290343I3N00
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Big Data: Principles and Best Practices of Scalable Realtime Data Systems
Anbieter: ThriftBooks-Phoenix, Phoenix, AZ, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.3. Bestandsnummer des Verkäufers G1617290343I3N00
Anzahl: 1 verfügbar