Analyzing data using Spark 2.0 DataFrames with Python : learning the basics of Python and Spark DataFrames, and how they work with big data /

"Apache Spark 2.0 has become the gold standard for processing large datasets. This course, designed for learners with basic Python programming experience, takes you on an introductory journey into the world of big data analysis using Spark 2.0, Python, and the Spark DataFrame API. Beginning wit...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Marcial Portilla, Jose (Orador)
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly, [2017]
Temas:
Spark (Electronic resource : Apache Software Foundation)
Big data.
Python (Computer program language)
Data mining.
Data Mining
Données volumineuses.
Python (Langage de programmation)
Exploration de données (Informatique)
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"Apache Spark 2.0 has become the gold standard for processing large datasets. This course, designed for learners with basic Python programming experience, takes you on an introductory journey into the world of big data analysis using Spark 2.0, Python, and the Spark DataFrame API. Beginning with an overview of Spark 2.0 and Python, and then moving into a detailed examination of DataFrames, you'll learn about using SQL with DataFrames, DataFrame dates and timestamps, DataFrame aggregate operations, and about DataFrames and missing data. The course includes a hands-on data analysis exercise using real stock data. Learners should have Python and Spark installed on their computers before starting the class."--Resource description page.
Notas:Title from title screen (viewed June 9, 2017).
Date of publication from resource description page.
Descripción Física:1 online resource (1 streaming video file (1 hr., 17 min., 29 sec.)) : digital, sound, color

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