Apache Spark with Python - Big Data with PySpark and Spark [Video]

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Apache Spark with Python - Big Data with PySpark and Spark [Video]

James Lee et al.
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Learn Apache Spark and Python by 12+ hands-on examples of analyzing big data with PySpark and Spark
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Video Details

ISBN 139781789133394
Course Length3 hours and 18 minutes

Video Description

This course covers all the fundamentals of Apache Spark with Python and teaches you everything you need to know about developing Spark applications using PySpark, the Python API for Spark. At the end of this course, you will gain in-depth knowledge about Apache Spark and general big data analysis and manipulations skills to help your company to adopt Apache Spark for building big data processing pipeline and data analytics applications. This course covers 10+ hands-on big data examples. You will learn valuable knowledge about how to frame data analysis problems as Spark problems. Together we will learn examples such as aggregating NASA Apache weblogs from different sources; we will explore the price trend by looking at the real estate data in California; we will write Spark applications to find out the median salary of developers in different countries through the Stack Overflow survey data; we will develop a system to analyze how maker spaces are distributed across different regions in the United Kingdom. And much much more.

Style and Approach

This course covers 10+ hands-on big data examples. You will learn valuable knowledge about how to frame data analysis problems as Spark problems.

Table of Contents

Get Started with Apache Spark
Course Overview
Introduction to Spark
Install Java and Git
Set up Spark
Run our first Spark job
RDD
RDD Basics
Create RDDs
Map and Filter Transformation
Solution to Airports by Latitude Problem
FlatMap Transformation
Set Operations
Solution for the Same Hosts Problem
Actions
Solution to Sum of Numbers Problem
Important Aspects about RDD
Summary of RDD Operations
Caching and Persistance
Spark Architecture and Components
Spark Architecture
Spark Components
Pair RDD
Introduction to Pair RDD
Create Pair RDDs
Filter and MapValue Transformations on Pair RDD
Reduce By Key Aggregation
Solution for the Average House Problem
Group By Key Transformation
Sort By Key Transformation
Solution for the Sorted Word Count Problem
Data Partitioning
Join Operations
Advanced Spark Topics
Accumulators
Solution to StackOverflow Survey Follow-up Problem
Broadcast Variables
Spark SQL
Introduction to Spark SQL
Spark SQL in Action
Spark SQL practice: House Price Problem
Spark SQL Joins
Dataframe or RDD
Dataframe and RDD Conversion
Performance Tuning of Spark SQL
Running Spark in a Cluster
Introduction to Running Spark in a Cluster
Spark-submit
Run Spark Application on Amazon EMR (ElasticMapReduce) cluster

What You Will Learn

  • An overview of the architecture of Apache Spark.
  • Develop Apache Spark 2.0 applications using RDD transformations and actions and Spark SQL.
  • Work with Apache Spark's primary abstraction, resilient distributed datasets (RDDs) to process and analyze large data sets
  • Analyze structured and semi-structured data using DataFrames, and develop a thorough understanding about Spark SQL.
  • Advanced techniques to optimize and tune Apache Spark jobs by partitioning, caching and persisting RDDs.
  • Scale up Spark applications on a Hadoop YARN cluster through Amazon's Elastic MapReduce service.
  • Share information across different nodes on an Apache Spark cluster by broadcast variables and accumulators.
  • Write Spark applications using the Python API - PySpark

Authors

Table of Contents

Get Started with Apache Spark
Course Overview
Introduction to Spark
Install Java and Git
Set up Spark
Run our first Spark job
RDD
RDD Basics
Create RDDs
Map and Filter Transformation
Solution to Airports by Latitude Problem
FlatMap Transformation
Set Operations
Solution for the Same Hosts Problem
Actions
Solution to Sum of Numbers Problem
Important Aspects about RDD
Summary of RDD Operations
Caching and Persistance
Spark Architecture and Components
Spark Architecture
Spark Components
Pair RDD
Introduction to Pair RDD
Create Pair RDDs
Filter and MapValue Transformations on Pair RDD
Reduce By Key Aggregation
Solution for the Average House Problem
Group By Key Transformation
Sort By Key Transformation
Solution for the Sorted Word Count Problem
Data Partitioning
Join Operations
Advanced Spark Topics
Accumulators
Solution to StackOverflow Survey Follow-up Problem
Broadcast Variables
Spark SQL
Introduction to Spark SQL
Spark SQL in Action
Spark SQL practice: House Price Problem
Spark SQL Joins
Dataframe or RDD
Dataframe and RDD Conversion
Performance Tuning of Spark SQL
Running Spark in a Cluster
Introduction to Running Spark in a Cluster
Spark-submit
Run Spark Application on Amazon EMR (ElasticMapReduce) cluster

Video Details

ISBN 139781789133394
Course Length3 hours and 18 minutes
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