Big Data: Principles and Best Practices of Scalable Realtime Data Systems
Nathan Marz; James Warren
ISBN 10: 1617290343 ISBN 13: 9781617290343
Verlag: Manning Publications, 2015
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Beschreibung
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May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.3. Bestandsnummer des Verkäufers G1617290343I4N00
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
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.
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Bibliografische Details
Titel: Big Data: Principles and Best Practices of ...
Verlag: Manning Publications
Erscheinungsdatum: 2015
Einband: Paperback
Zustand: Very Good
Zustand des Schutzumschlags: No Jacket
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Big Data: Principles and Best Practices of Scalable Real-time Data Systems
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Hardcover. Zustand: Fine. Geknickte Ecken. Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. What's inside: Introduction to big data systems; Real-time processing of web-scale data; Tools like Hadoop, Cassandra, and Storm; Extensions to traditional database skills. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. - Back cover. Artikel-Nr. 17e2137d-628e-48a7-9636-74c2e5b8bc50
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Big Data:Principles and Best Practices of Scalable Realtime Data Systems
Verlag:
Manning Publications Co. LLC, 2015
ISBN 10: 1617290343
ISBN 13: 9781617290343
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Zustand: Very Good. Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects. Artikel-Nr. 12815405-6
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Big Data:Principles and Best Practices of Scalable Realtime Data Systems
Verlag:
Manning Publications Co. LLC, 2015
ISBN 10: 1617290343
ISBN 13: 9781617290343
Gebraucht
Softcover
Anbieter: Better World Books, Mishawaka, IN, USA
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Zustand: Good. Used book that is in clean, average condition without any missing pages. Artikel-Nr. 14355508-6
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Beispielbild für diese ISBN
Big Data:Principles and Best Practices of Scalable Realtime Data Systems
Verlag:
Manning Publications Co. LLC, 2015
ISBN 10: 1617290343
ISBN 13: 9781617290343
Gebraucht
Softcover
Anbieter: Better World Books, Mishawaka, IN, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages. Artikel-Nr. 12941091-6
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Big Data:Principles and Best Practices of Scalable Realtime Data Systems
Verlag:
Manning Publications Co. LLC, 2015
ISBN 10: 1617290343
ISBN 13: 9781617290343
Gebraucht
Softcover
Anbieter: Better World Books: West, Reno, NV, USA
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Zustand: Good. Used book that is in clean, average condition without any missing pages. Artikel-Nr. 14355508-6
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Big Data: Principles and best practices of scalable realtime data systems
Verlag:
Manning (edition First Edition), 2015
ISBN 10: 1617290343
ISBN 13: 9781617290343
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Big Data: Principles and Best Practices of Scalable Realtime Data Systems
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Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.3. Artikel-Nr. G1617290343I3N00
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Big Data: Principles and Best Practices of Scalable Realtime Data Systems
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Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.3. Artikel-Nr. G1617290343I3N00
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Big Data: Principles and Best Practices of Scalable Realtime Data Systems
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Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.3. Artikel-Nr. G1617290343I3N00
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Big Data: Principles and Best Practices of Scalable Realtime Data Systems
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Paperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less 1.3. Artikel-Nr. G1617290343I5N00
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