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PySpark and AWS: Master Big Data with PySpark and AWS
PySpark and AWS: Master Big Data with PySpark and AWS

PySpark and AWS: Master Big Data with PySpark and AWS: Learn how to use Spark, PySpark AWS, Spark applications, Spark Ecosystem, Hadoop, and Master PySpark

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S$182.99
Video Sep 2021 16hrs 10mins 1st Edition
Video
S$182.99
Subscription
Free Trial
Arrow left icon
Profile Icon AI Sciences
Arrow right icon
S$182.99
Video Sep 2021 16hrs 10mins 1st Edition
Video
S$182.99
Subscription
Free Trial
Video
S$182.99
Subscription
Free Trial

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Key benefits

  • Relate the concepts and practical aspects of Spark and AWS with real-world problems
  • Implement any project that requires PySpark knowledge from scratch
  • Know the theory and practical aspects of PySpark and AWS

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, Dataframes, 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 Dataframes. You’ll also explore the ecosystem of Spark and Hadoop and their underlying architecture. You’ll use the Databricks 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

Who is this book for?

This course requires python programming experience as a prerequisite.

What you will learn

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 23, 2021
Length: 16hrs 10mins
Edition : 1st
Language : English
ISBN-13 : 9781803236698
Vendor :
Amazon
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Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
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Product Details

Publication date : Sep 23, 2021
Length: 16hrs 10mins
Edition : 1st
Language : English
ISBN-13 : 9781803236698
Vendor :
Amazon
Category :
Languages :
Concepts :
Tools :

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Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
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Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just S$6 each
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Frequently bought together


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Mastering Big Data Analytics with PySpark
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PySpark and AWS: Master Big Data with PySpark and AWS
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Table of Contents

8 Chapters
Introduction Chevron down icon Chevron up icon
Introduction to Hadoop, Spark Ecosystems and Architectures Chevron down icon Chevron up icon
Spark RDDs Chevron down icon Chevron up icon
Spark DFs Chevron down icon Chevron up icon
Collaborative Filtering Chevron down icon Chevron up icon
Spark Streaming Chevron down icon Chevron up icon
ETL Pipeline Chevron down icon Chevron up icon
Project - Change Data Capture / Replication Ongoing Chevron down icon Chevron up icon
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