Análisis de datos a gran escala con Python y Spark

Data processing and analysis in artificial intelligence requires distributed platforms capable of handling large volumes of information. This practical guide offers the key concepts and skills needed to tackle large-scale data analysis and machine learning tasks. “With the increasing availability of large and complex datasets, mastering programming models like MapReduce and Spark has become an essential skill for data scientists, data engineers, and machine learning specialists. Triguero and Galar draw on their extensive teaching experience in this field to deliver a rigorous yet accessible work that addresses both the technical concepts and practical skills needed for large-scale data analysis. They alternate clear and intuitive explanations with relevant examples of data engineering and classic machine learning pipelines, all accompanied by well-structured code and the results of its execution. This book not only shows how to apply this knowledge in practice today but also prepares the reader to successfully apply it in future scenarios.”