Olympic Games Analytics Project in Apache Spark for beginner

Olympic Games Analytics Project in Apache Spark for beginner

Olympic Games Analytics Project in Apache Spark for beginner

Olympic Games Analytics Project in Apache Spark for beginner using Databricks (Unofficial)

Language: english

Note: 4.3/5 (45 notes) 11,125 students

Instructor(s): Bigdata Engineer

Last update: 2022-11-06

What you’ll learn

  • In this course you will learn to Analyze data (Olympic Game) in Apache Spark using Databricks Notebook (Community edition)
  • Data exploration about the recent history of the Olympic Games using Apache Spark
  • Basics flow of data in Apache Spark, loading data, and working with data, this course shows you how Apache Spark is perfect for Big Data Analysis job.
  • Learn basics of Databricks notebook by enrolling into Free Community Edition Server
  • Olympic Games Analytics a real world examples.
  • Graphical  Representation of Data using Databricks notebook.
  • Transform structured data using SparkSQL and DataFrames
  • Publish the Project on Web to Impress your recruiter

 

Requirements

  • Apache Spark basic fundamental knowledge is required and SQL Basics
  • Following browsers on Windows and macOS desktop:
  • Google Chrome (Latest version), Firefox (Latest version), Safari (Latest version), Microsoft Edge* (Latest version)
  • Internet Explorer 11* on Windows 7, 8, or 10 (with latest Windows updates applied)
  • *You might see performance degradation for some features on Microsoft Edge and Internet Explorer.
  • The following browsers are not supported:
  • Mobile browsers.
  • Beta, “preview,” or otherwise pre-release versions of desktop browsers.

 

Description

In this course you will learn to Analyze data (Olympic Game) in Apache Spark using Databricks Notebook (Community edition),


1) Basics flow of data in Apache Spark, loading data, and working with data, this course shows you how Apache Spark is perfect for Big Data Analysis job.

2) Learn basics of Databricks notebook by enrolling into Free Community Edition Server

3) Olympic Games Analytics a real world examples.

4) Graphical  Representation of Data using Databricks notebook.

5) Hands-on learning

6) Real-time Use Case

7) Publish the Project on Web to Impress your recruiter


About Databricks:

Databricks lets you start writing Spark queries instantly so you can focus on your data problems.

Lets discover more about the Olympic Games using Apache Spark


Data:

Data exploration about the recent history of the Olympic Games

We will explore a dataset on the modern Olympic Games, including all the Games from Athens 1896 to Rio 2016.



 

Who this course is for

  • Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer

 

Course content

  • Introduction
    • Introduction
  • Download Resources
    • Download Resources
  • Project Begins
    • File level details
    • (Old) Free Account creation in Databricks
    • (New) Free Account creation in Databricks
    • Importing Databricks Notebook
    • Overview and Project Objective
    • File Content Explaination
    • Launch Spark Cluster
    • Spark Notebook Basics
    • Loading data into Spark Dataframe
    • Distribution of the age of gold medalists
    • Gold Medals for Athletes Over 50 based on Sports
    • Women medals per edition(Summer Season) of the Games
    • Top 5 Gold Medal Countries
    • Disciplines with the greatest number of Gold Medals
    • Height vs Weight of Olympic Medalists
    • Variation of Male/Female Athletes over time
    • Variation of (Age/Weight/Height) for Male/Female Athletes over time
    • Weight over year for Male/Female Gymnasts
    • Weight/Height over years for Male/Female Lifters
    • Gold/Silver/Bronze Medals based on Countries
    • Publish Notebook to the Web
    • Bonus Lecture

 

Time remaining or 541 enrolls left

 

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