Hands-On PySpark for Big Data Analysis [Video]

Hands-On PySpark for Big Data Analysis [Video]

Rudy Lai

Use PySpark to productionize analytics over Big Data and easily crush messy data at scale
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Video Description

Data is an incredible asset, especially when there are lots of it. Exploratory data analysis, business intelligence, and machine learning all depend on processing and analyzing Big Data at scale.

How do you go from working on prototypes on your local machine, to handling messy data in production and at scale?

This is a practical, hands-on course that shows you how to use Spark and it's Python API to create performant analytics with large-scale data. Don't reinvent the wheel, and wow your clients by building robust and responsible applications on Big Data.

All the code and supporting files for this course are available on Github at - https://github.com/PacktPublishing/Hands-On-Pyspark-for-Big-Data-Analysis

Style and Approach

This hands-on course is divided into clear bite-size chunks so you can learn at your own pace and focus on the areas of most interest to you. It’s practical and packed with step-by-step instructions, working examples, and helpful advice from our expert author. You will learn how PySpark provides an easy to use, performant way to do data analysis with Big Data.

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What You Will Learn

  • Work on real-life messy datasets with PySpark to get practical Big Data experience
  • Design for both offline and online use cases with Spark Notebooks to increase productivity
  • Analyse and discover patterns with Spark SQL to improve your business intelligence
  • Get rapid-fire feedback with PySpark’s interactive shell to speed up development time
  • Quickly iterate through your solution by setting up PySpark for your own computer
  • Using Spark Notebooks to quickly iterate through your new ideas

Authors

Video Details

ISBN 139781789530056
Course Length1 hours 52 minutes
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