Geahča maid: Learning Spark /
- Spark Cookbook : Over 60 Recipes on Spark, Covering Spark Core, Spark SQL, Spark Streaming, MLib, and GraphX Libraries /
- Fast Data Processing with Spark : High-speed Distributed Computing Made Easy with Spark /
- Advanced Analytics with Spark /
- Big Data Analytics with Spark : A Practitioner’s Guide to Using Spark for Large-Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream Processing /
- Hadoop MapReduce V2 Cookbook : Explore the Hadoop MapReduce V2 Ecosystem to Gain Insights from Very Large Datasets /
- Hadoop : The Definitive Guide /
Fáddá: Big Data
- Enterprise Analytics : Optimize Performance, Process, and Desicions through Big Data /
- Data Science for Business : What You Need to Know about Data Mining and Data-Analytic Thinking /
- Data Warehousing in the Age of Big Data /
- Business Analytics /
- Practical Machine Learning : Tackle the Real-World Complexities of Modern Machine Learning with Innovative and Cutting-Edge Techniques /
- Advances in Data Mining : Applications and Theoretical Aspects : 12th Industrial Conference, ICDM 2012, Berlin, Germany, July 13-20, 2012 : Proceedings /
Fáddá: Minería de Datos
- Tech Mining : Exploiting New Technologies for Competitive Advantage /
- Extraer y visualizar información en Internet : el Web Mining /
- Explotar la información noticiosa : Data Mining aplicado a la documentación periodística /
- Textos urbanos irregulares : experiencia radiofónica para practicar la minería de fuentes en los asentamientos irregulares de Zapopan /
- Haciendo ciudad : experiencia periodística para practicar la minería de fuentes en la construcción de la historia urbana de Guadalajara /
- Fundamentos de diseño de bases de datos /