sparkwithScala

sparkwithScala is a tool created by Apache Spark Community for using Python with Spark. It allows working with RDD (Resilient Distributed Dataset) in Python. It also offers PySpark Shell to link Python APIs with Spark core to initiate Spark Context.

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Course Includes
Anytime, Anywhere
Downloadable resources
Full lifetime access
Access on mobile and TV

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Aakash Kumar

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Codeshunger

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What you will learn

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Course Content

10 sections • 13 lectures • 05h 00m total length

	what is Big data and apache spark		33min

	Hadoop Distributed File System(HDFS) Intro		31min

	what is Apache spark and RDD		24min

	spark_ecosystem		31min

	spark_lazy_evulation		6min

	pyspark-rdd-part1		25min
	pyspark_rdd_part2	preview	22min

	pyspark dataframe part 1		27min
	pyspark dataframe part 2		20min
	pyspark dataframe part 3 (Joins)		25min
	pyspark dataframe part 4		21min

	pyspark user define function (udf) part 1	preview	14min
	pyspark user define function (udf) part 2		21min

Requirements

General Programming Skills in any Language (Preferrably Scala) 20 GB of free space on your local computer.

Description

Learn the latest Big Data Technology - Spark! And learn to use it with one of the most popular programming languages, Python!

One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Spark! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Spark to solve their big data problems!