Learning PySpark
Where to Watch Learning PySpark
49
Repartitioning Data
2018-02-26
In this video, we will learn how to repartition the data.
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48
Pitfalls of UDFs
2018-02-26
In this video, we will discuss the pitfalls of using pure Python user defined functions.
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45
Presenting Data
2018-02-26
In this video, we will learn how to present data.
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44
Transforming Data
2018-02-26
In this video, we will learn how to transform data.
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43
Selecting Data
2018-02-26
In this video, we will learn how to select data from a DataFrame.
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42
Aggregating Data
2018-02-26
In this video, we will learn how to aggregate data.
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41
Filtering Data
2018-02-26
In this video, we will learn how to filter data.
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40
Schema Changes
2018-02-26
In this video, we will learn how to drop, rename, and handle missing observations.
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39
The .distinct(.) Transformation
2018-02-26
In this video, we will how to retrieve distinct values from a DataFrame.
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38
Performing Statistical Transformations
2018-02-26
In this video, we will learn how to calculate descriptive statistics in DataFrames.
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37
Joining Two DataFrames
2018-02-26
In this video, we will learn how to join two DataFrames.
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36
Creating Temporary Tables
2018-02-26
In this video, we will learn how to create temporary views over a DataFrame.
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33
Interacting with DataFrames
2018-02-26
In this video, we will discuss different ways of interacting with DataFrames.
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32
Specifying Schema of a DataFrame
2018-02-26
In this video, we will learn how to specify schema of a DataFrame.
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31
Creating DataFrames
2018-02-26
In this video, we will learn how to create DataFrames.
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30
Introduction
2018-02-26
In this video, we will provide a brief introduction to Spark DataFrames.
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29
Introducing Actions - Descriptive Statistics
2018-02-26
In this video, we will explore some basic descriptive statistics.
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28
Introducing Actions - Saving Data
2018-02-26
In this video, we will explore how to save data from an RDD.
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26
Introducing Actions - .histogram(.)
2018-02-26
In this video, we will learn how to bin data into buckets.
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24
Introducing Actions - .coalesce(.)
2018-02-26
In this video, we will learn when and why to use the .coalesce(...) method instead of the .repartition(...).
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22
Introducing Actions - .foreach(.)
2018-02-26
In this video, we will learn how to execute an action on each element of an RDD in each of its partitions.
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20
Introducing Actions - .reduce(.) and .reduceByKey(.)
2018-02-26
In this video, we will learn another fundamental method from the Map-Reduce paradigm - the .reduce(...
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12
Introducing Transformations - .filter(.)
2018-02-26
In this video, we will learn how to filter data from RDDs.
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10
Understanding Lazy Execution
2018-02-26
Spark is lazy to process data. In this video we will learn why this is an advantage.
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9
Schema of an RDD
2018-02-26
In this video, we explore the advantages and disadvantages of RDD's lack of schema.
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8
Creating RDDs
2018-02-26
In this video, we will learn how to create RDDs in many different ways.
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6
Cloning GitHub Repository
2018-02-26
The aim of this video is to clone the GitHub repository for the course. Doing this will set everything we need for the following videos.
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5
Newest Capabilities of PySpark 2.0+
2018-02-26
The aim of this video is to briefly review the newest features of Spark 2.0+.
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4
Spark Execution Process
2018-02-26
The aim of this video is to briefly review the execution process.
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3
Apache Spark Stack
2018-02-26
The aim of this video is to provide a brief overview of Apache Spark stack components.
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2
Brief Introduction to Spark
2018-02-26
The aim of the video is to explain Spark and its Python interface.
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1
The Course Overview
2018-02-26
This video gives an overview of the entire course.
Watch Learning PySpark Season 1 Episode 1 Now
Learning PySpark is a series categorized as a new series. Spanning 1 seasons with a total of 32 episodes, the show debuted on 2018. The series has earned a no reviews from both critics and viewers. The IMDb score stands at undefined.
How to Watch Learning PySpark
How can I watch Learning PySpark online? Learning PySpark is available on Packt Publishing with seasons and full episodes. You can also watch Learning PySpark on demand at Amazon online.
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