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...is a collective term for characteristics that the two institutions share.
·-- PUBLISHER -----·> Infinite Skills
·-- LECTURESHIP ---·> Analyzing Data Using Spark 2.0 DataFrames
With Python
·-- LECTURE DATE --·> 05-2017
05-2017 {Published}
·-- PERIOD in HRS--·> 01+
·-- SCALE ---------·> 11x50mb
·-- LECTURE LINK --·> https://goo.gl/jckWQK
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.
Gain a core understanding of Spark 2.0 and Spark DataFrames
Learn how to use Python with Spark DataFrames
Gain big data experience analyzing stock data with Python and Spark
DataFrames