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Big data : principles and best practices of scalable real-time data systems / Nathan Marz y James Warren.

By: Marz, Nathan [autor].
Contributor(s): Warren, James [autor].
Material type: TextTextPublisher: Shelter Island, NY : Manning, c2015Copyright date: ©2015Description: xx, 308 páginas : ilustraciones, gráficas ; 24 cm.Content type: texto Media type: sin mediación Carrier type: volumenISBN: 9781617290343.Subject(s): Administración de bases de datos | Diseño de bases de datos | Minería de datos | Procesamiento de datos en tiempo realDDC classification: 005.74
Contents:
1. A new paradigm for big data. -- 2. Data model for big data. -- 3. Data model for big data: illustration. -- 4. Data storage on the batch layer. -- 5. Data storage on the batch layer: illustration. -- 6. Batch layer. -- 7. Batch layer: illustration. -- 8. An example batch layer: architecture and algorithms. -- 9. An example batch layer: implementation. -- 10. Serving layer. -- 11. Serving layer: illustration. -- 12. Realtime views. -- 13. Realtime views: illustration. -- 14. Queuing and stream processing. -- 15. Queuing and stream processing: illustration. -- 16. Micro-batch stream processing. -- 17. Micro-batch stream processing: illustration. -- 18. Lambda Architecture in depth.
Abstract: 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. El texto.
List(s) this item appears in: Ingeniería de Sistemas - Novedades. Segundo semestre 2019
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Libros Libros Biblioteca Central
005.74 M393 2015 (Browse shelf) Ej. 1 Available 33270

Incluye índice.

1. A new paradigm for big data. -- 2. Data model for big data. -- 3. Data model for big data: illustration. -- 4. Data storage on the batch layer. -- 5. Data storage on the batch layer: illustration. -- 6. Batch layer. -- 7. Batch layer: illustration. -- 8. An example batch layer: architecture and algorithms. -- 9. An example batch layer: implementation. -- 10. Serving layer. -- 11. Serving layer: illustration. -- 12. Realtime views. -- 13. Realtime views: illustration. -- 14. Queuing and stream processing. -- 15. Queuing and stream processing: illustration. -- 16. Micro-batch stream processing. -- 17. Micro-batch stream processing: illustration. -- 18. Lambda Architecture in depth.

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. El texto.

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