Big Data : principles and best practices of scalable real time data systems.

Marz, Nathan

Big Data : principles and best practices of scalable real time data systems. - 308 páginas : : ils. ; figuras ; tables.

Incluye tabla de contenido.

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.

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.

9781617290343


Big Data
Data integration--Computer science
Integración de datos--Ciencias de la computación
Databases
Bases de datos
Procesamiento de datos

005.74 / M393