Olympic Games Analytics Project in Apache Spark for beginner using Databricks (Unofficial)
What you will learn
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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.
GraphicalΒ Representation of Data using Databricks notebook.
Transform structured data using SparkSQL and DataFrames
Publish the Project on Web to Impress your recruiter
Data Ingestion & Preprocessing: Load and clean Olympic datasets to prepare them for analysis.
Exploratory Data Analysis (EDA): Discover trends, performance insights, and medal distributions across countries and events.
Scalable Data Processing: Use Apache Spark to efficiently process and analyze large-scale sports datasets.
Visualization & Reporting: Create compelling visualizations and dashboards to present your findings.
Actionable Insights: Answer real-world questions about athlete performance, country rankings, and historical trends.
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