principles and best practices of scalable real time data systems Marz, Nathan creator autor. aut Warren, James text 2015 monographic spa eng

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308 páginas : : ils. ; figuras ; tables. Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. A new paradigm for Big Data. -- PART 1 BATCH LAYER. -- Data model for Big Data. -- Data model for Big Data: Illustration. -- Data storage on the batch layer. -- Data storage on the batch layer: Illustration. -- Batch layer. -- Batch layer: Illustration. -- An example batch layer: Architecture and algorithms. -- An example batch layer: Implementation. -- PART 2 SERVING LAYER. -- Serving layer Serving layer: Illustration. -- PART 3 SPEED LAYER. -- Realtime views. -- Realtime views: Illustration. -- Queuing and stream. -- processing. -- Queuing and stream processing: Illustration. -- Micro-batch stream processing. -- Micro-batch stream processing: Illustration. -- Lambda Architecture in depth. Incluye tabla de contenido. Big Data Data integration Computer science Integración de datos Ciencias de la computación Databases Bases de datos Procesamiento de datos 005.74 M393 9781617290343 CO-ViULL 230427 20251030135900.0 spa