MapReduce design patterns: building effective algorithms and analytics for Hadoop and other systems
Miner, Donald
Shook, Adam
50,28 €(IVA inc.)
This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you’re using. Each pattern is explained in context, with pitfalls and caveats clearly identified—so you can avoid some of the common design mistakes when modeling your Big Data architecture.
- ISBN: 978-1-4493-2717-0
- Editorial: O'Reilly
- Encuadernacion: Rústica
- Páginas: 256
- Fecha Publicación: 30/09/2012
- Nº Volúmenes: 1
- Idioma: Inglés