Data analysis with Python and Pyspark

Data Analysis with Python and PySpark helps you solve the daily challenges of data science with PySpark. You'll learn how to scale your processing capabilities across multiple machines while ingesting data from any source--whether that's Hadoop clusters, cloud data storage, or local data f...

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Detalles Bibliográficos
Otros Autores: Rioux, Jonathan, author (author)
Formato: Grabación no musical
Idioma:Inglés
Publicado: Shelter Island, NY : Manning Publications [2023]
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009825862206719
Descripción
Sumario:Data Analysis with Python and PySpark helps you solve the daily challenges of data science with PySpark. You'll learn how to scale your processing capabilities across multiple machines while ingesting data from any source--whether that's Hadoop clusters, cloud data storage, or local data files. Once you've covered the fundamentals, you'll explore the full versatility of PySpark by building machine learning pipelines, and blending Python, pandas, and PySpark code.
Descripción Física:1 online resource (1 audio file)