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PySpark and AWS: Master Big Data with PySpark and AWS

Master Spark, PySpark AWS, Spark applications, Spark Ecosystem, Hadoop, and mastering PySpark

Description

The hottest buzzwords in the Big Data analytics industry are Python and Apache Spark. PySpark supports the collaboration of Python and Apache Spark. In this course, you’ll start right from the basics and proceed to the advanced levels of data analysis. From cleaning data to building features and implementing machine learning (ML) models, you’ll learn how to execute end-to-end workflows using PySpark.

Right through the course, you’ll be using PySpark to perform data analysis. You’ll explore Spark RDDs, Data frames, and a bit of Spark SQL queries. Also, you’ll explore the transformations and actions that can be performed on the data using Spark RDDs and Data frames. You’ll also explore the ecosystem of Spark and Hadoop and their underlying architecture. You’ll use the Data bricks environment to run the Spark scripts and explore it as well.

Finally, you’ll have a taste of Spark with AWS cloud. You’ll see how we can leverage AWS storages, databases, computations, and how Spark can communicate with different AWS services and get its required data.

By the end of this course, you’ll be able to understand and implement the concepts of PySpark and AWS to solve real-world problems.

The code bundles are available here: https://github.com/PacktPublishing/PySpark-and-AWS-Master-Big-Data-with-PySpark-and-AWS

Audience:  

This course requires python programming experience as a prerequisite.

Goals

  • Learn the importance of Big Data.
  • Explore the Spark and Hadoop architecture and ecosystem.
  • Learn about PySpark Data frames and PySpark Data Frames actions.
  • Use PySpark Data Frames transformations.
  • Apply collaborative filtering to develop a recommendation system using ALS models.

Prerequisites

  • requires python programming experience
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Curriculum

  • Why Big Data
    03:11
  • Applications of PySpark
    03:12
  • Introduction to Instructor
    00:46
  • Introduction to Course
    01:49
  • Projects Overview
    03:25
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PySpark and AWS: Master Big Data with PySpark and AWS
This Course Includes
  • 16 hours
  • 149 Lectures
  • Completion Certificate
  • Lifetime Access
  • 30-Days Money Back Guarantee

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