PySpark recipes : a problem-solution approach with PySpark2 /

Quickly find solutions to common programming problems encountered while processing big data. Content is presented in the popular problem-solution format. Look up the programming problem that you want to solve. Read the solution. Apply the solution directly in your own code. Problem solved! PySpark R...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Mishra, Raju Kumar (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [United States] : Apress, [2018]
Temas:
Python (Computer program language)
SPARK (Computer program language)
Computer Science.
Big Data.
Programming Techniques.
Programming Languages, Compilers, Interpreters.
Data Mining and Knowledge Discovery.
Python (Langage de programmation)
Computer programming > software development.
Programming & scripting languages: general.
Data mining.
Databases.
COMPUTERS > Programming Languages > General.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:Quickly find solutions to common programming problems encountered while processing big data. Content is presented in the popular problem-solution format. Look up the programming problem that you want to solve. Read the solution. Apply the solution directly in your own code. Problem solved! PySpark Recipes covers Hadoop and its shortcomings. The architecture of Spark, PySpark, and RDD are presented. You will learn to apply RDD to solve day-to-day big data problems. Python and NumPy are included and make it easy for new learners of PySpark to understand and adopt the model. What You Will Learn: Understand the advanced features of PySpark and SparkSQL Optimize your code Program SparkSQL with Python Use Spark Streaming and Spark MLlib with Python Perform graph analysis with GraphFrames.
Notas:Includes index.
Descripción Física:1 online resource : illustrations
ISBN:9781484231418
1484231414

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