Hands-on big data analytics with PySpark : analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs /

In this book, you'll learn to implement some practical and proven techniques to improve aspects of programming and administration in Apache Spark. Techniques are demonstrated using practical examples and best practices. You will also learn how to use Spark and its Python API to create performan...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Lai, Rudy (Autor), Potaczek, Bartłomiej (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing, 2019.
Temas:
SPARK (Computer program language)
Application software > Development.
Big data.
Electronic data processing.
Python (Computer program language)
Logiciels d'application > Développement.
Données volumineuses.
Python (Langage de programmation)
Application software > Development
Big data
Electronic data processing
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:In this book, you'll learn to implement some practical and proven techniques to improve aspects of programming and administration in Apache Spark. Techniques are demonstrated using practical examples and best practices. You will also learn how to use Spark and its Python API to create performant analytics with large-scale data.
Descripción Física:1 online resource : illustrations
ISBN:1838648836
9781838648831

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