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Course Information

PySpark Training​ Course Outline

Module 1: Introduction to PySpark

  • What is PySpark?
  • Environment
  • Spark Dataframes
  • Reading Data
  • Writing Data
  • Transforming Data
  • MLlib
  • Pandas UDFs
  • Best Practices

Module 2: Installation

  • Using PyPI
  • Using Conda
  • Using PySpark Native Features
  • Using Virtualenv
  • Using PEX
  • Manual Downloading
  • Installing from Source
  • Dependencies

Module 3: DataFrame

  • DataFrame Creation
  • Viewing Data
  • Selecting and Accessing Data
  • Applying a Function
  • Grouping Data
  • Getting Data In/Out
  • Working with SQL

Module 4: Setting Up a Spark Virtual Environment

  • Understanding the Architecture of Data-Intensive Applications
  • Understanding Spark
  • Understanding Anaconda
  • Setting Up the Spark Powered Environment
  • Setting Up an Oracle VirtualBox with Ubuntu
  • Building First App with PySpark
  • Virtualising the Environment with Vagrant
  • Moving to the Cloud

Module 5: Building Batch and Streaming Apps with Spark

  • Architecting Data-Intensive Apps
  • Connecting to Social Networks
  • Analysing the Data
  • Exploring the GitHub World
  • Previewing App

Module 6: Learning from Data Using Spark

  • Contextualising Spark MLlib in the App Architecture
  • Classifying Spark MLlib Algorithms
  • Spark MLlib Data Types
  • Machine Learning Workflows and Data Flows
  • Clustering the Twitter Dataset
  • Building Machine Learning Pipelines

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Prerequisites  

In this PySpark Training course, there are no formal prerequisites. 

Audience 

This PySpark Training provided by The Knowledge Academy is ideal for anyone who wants to learn the use of PySpark to support the collaboration of Apache Spark and Python.

PySpark Training​ Course Overview

PySpark is an interface for Apache Spark in Python and a comprehensive language for conducting exploratory data analysis at scale, for creating machine learning pipelines and building ETLs for a data platform. PySpark supports various features of Spark like Spark SQL, DataFrame, Streaming, MLlib, and Spark Core. It comes with immense benefits to its users and organisations, including simple to write, the framework handles errors, various useful algorithms, etc. This PySpark Training is curated by industry experts to help individuals in mastering skills required by utilising PySpark features in their day-to-day tasks and get opportunities to work on lucrative job posts in multinational companies.

In this 1-day PySpark Training course, delegates will learn about using the Conda environment to export their third-party Python packages by leveraging Conda-pack. They will gain in-depth knowledge about using virtualenv to manage Python dependencies in their clusters by using venv-pack. Further, delegates will learn other crucial concepts, such as reading, writing, and transforming data, MLlib, using PyPI, Conda, PySpark native features, Virtualenv, and PEX, connecting to network servers, etc. Our expert and technically sound trainer, who has years of experience in teaching technical courses, will conduct this training.

This training course will cover various essential concepts, such as:

  • Spark data frames
  • MLlib
  • Setting up a Spark virtual environment
  • Building batch and streaming apps with Spark
  • Exploring the GitHub world
  • Learning from data using Spark
  • Contextualising Spark MLlib in the app architecture

After attending this training course, delegates will be able to use conceptual frameworks for implementing the architecture of data-intensive applications in their organisations. They will also be able to harvest the data, ensuring its integrity and preparing for batch and streaming data processing by Spark.

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  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor

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Why choose us

Ways to take this course

Our easy to use Virtual platform allows you to sit the course from home with a live instructor. You will follow the same schedule as the classroom course, and will be able to interact with the trainer and other delegates.

Our fully interactive online training platform is compatible across all devices and can be accessed from anywhere, at any time. All our online courses come with a standard 90 days access that can be extended upon request. Our expert trainers are constantly on hand to help you with any questions which may arise.

What our customers are saying

Frequently asked questions

FAQ's

PySpark is an interface for Apache Spark in Python and a comprehensive language for conducting exploratory data analysis at scale, creating machine learning pipelines, and building ETLs for a data platform.
In this PySpark Training course, there are no formal prerequisites. 
This PySpark Training provided by The Knowledge Academy is ideal for anyone who wants to learn the use of PySpark to support the collaboration of Apache Spark and Python.
Spark Dataframe is the key data type used in the PySpark. For doing distributed computation using PySpark, Spark Dataframes are essential, and you have to perform an operation on them.
It is simple to write in parallelised code, the framework handles errors properly, algorithms, libraries, good local tools, learning curve, easy to use, etc., are the advantages of the PySpark.
In this PySpark Training course, you will learn how to use virtualenv to manage Python dependencies in their clusters using venv-pack. You will learn crucial concepts, such as reading, writing, and transforming data, MLlib, using PyPI, Conda, connecting to network servers, etc.
The price for PySpark Training certification in Canada starts from CAD1595
The Knowledge Academy is the Leading global training provider in the world for PySpark Training.

Why choose us

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High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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