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Spark and Python for Big Data with PySpark

Hau Van Vo by Hau Van Vo
October 10, 2020
in Development
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Spark and Python for Big Data with PySpark. Learn how to use Spark with Python, including Spark Streaming, Machine Learning, Spark 2.0 DataFrames and more!

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!

Spark can perform up to 100x faster than Hadoop MapReduce, which has caused an explosion in demand for this skill! Because the Spark 2.0 DataFrame framework is so new, you now have the ability to quickly become one of the most knowledgeable people in the job market!

This course will teach the basics with a crash course in Python, continuing on to learning how to use Spark DataFrames with the latest Spark 2.0 syntax! Once we’ve done that we’ll go through how to use the MLlib Machine Library with the DataFrame syntax and Spark. All along the way you’ll have exercises and Mock Consulting Projects that put you right into a real world situation where you need to use your new skills to solve a real problem!

Spark and Python for Big Data with PySpark Description

Contents

  • 1 Spark and Python for Big Data with PySpark Description
    • 1.1 Requirements
    • 1.2 What you’ll learn
    • 1.3 Who this course is for:
  • 2 Spark and Python for Big Data with PySpark Free Download

Requirements

  • General Programming Skills in any Language (Preferrably Python)
  • 20 GB of free space on your local computer (or alternatively a strong internet connection for AWS)

Machine Learning A-Z™: Hands-On Python & R In Data Science

What you’ll learn

  • Use Python and Spark together to analyze Big Data
  • Learn how to use the new Spark 2.0 DataFrame Syntax
  • Work on Consulting Projects that mimic real world situations!
  • Classify Customer Churn with Logisitic Regression
  • Use Spark with Random Forests for Classification
  • Learn how to use Spark’s Gradient Boosted Trees
  • Use Spark’s MLlib to create Powerful Machine Learning Models
  • Learn about the DataBricks Platform!
  • Get set up on Amazon Web Services EC2 for Big Data Analysis
  • Learn how to use AWS Elastic MapReduce Service!
  • Learn how to leverage the power of Linux with a Spark Environment!
  • Create a Spam filter using Spark and Natural Language Processing!
  • Use Spark Streaming to Analyze Tweets in Real Time!

Who this course is for:

  • Someone who knows Python and would like to learn how to use it for Big Data
  • Someone who is very familiar with another programming language and needs to learn Spark

Spark and Python for Big Data with PySpark Free Download

Google Drive (Public)

Update 09/2020

Content From: https://www.udemy.com/course/spark-and-python-for-big-data-with-pyspark/

Tags: pythonSoftware Engineering
Previous Post

Machine Learning A-Z™: Hands-On Python & R In Data Science

Next Post

Taming Big Data with Apache Spark and Python – Hands On!

Hau Van Vo

Hau Van Vo

Hello everyone, my name is Hau Vu, my nickname is Hau Van Vo. I created this blog to share with everyone the courses on different platforms My motto is "No pain, no gain"

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Taming Big Data with Apache Spark and Python - Hands On!

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