[ FreeCourseWeb.com ] Olympic Games Analytics Project in Apache Spark for beginner
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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | Size: 516 MB | Duration: 1 hours
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
Use Winrar to Extract. And use a shorter path when extracting, such as C: drive
ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)
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