Hadoop application architectures : designing real-world big data applications / Mark Grover, Ted Malaska, Jonathan Seidman & Gwen Shapira.
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Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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Biblioteca CESA
Diagonal 34 A No. 5 A - 23 Casa Incolda PBX: 339 53 00 serviciosbiblioteca@cesa.edu.co |
General | 658.05 / H131 2015 (Browse shelf(Opens below)) | Ej.1 | Available (Sin restricciones) | 7109101151 |
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Incluye índice (353-371)
Part I. Architectural considerations for hadoop aplications ; 1. Data modeling hadoop ; 2. Data movement ; 3. Procesing data hadoop ; 4. Common hadoop processing patterns ; 5. Graph processing hadoop ; 6. Orchestration ; 7. Near-real-time processing with hadoop ; Part II. Case studies ; 8. Clickstream anlysis ; 9. Fraud detection ; 10. Data Warehouse.
Get expert guidance on architecting end-to-end data management solutions with Apache Hadoop. While many sources explain how to use various components in the Hadoop ecosystem, this practical book takes you through architectural considerations necessary to tie those components together into a complete tailored application, based on your particular use case. To reinforce those lessons, the book's second section provides detailed examples of architectures used in some of the most commonly found Hadoop applications. Whether you're designing a new Hadoop application, or planning to integrate Hadoop into your existing data infrastructure, Hadoop Application Architectures will skillfully guide you through the process. editor.
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