Skip to content

untddanny/Olympic-data-ENGG-

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 

Repository files navigation

Olympic-data-ENGG-

Hello 👋, I'm thrilled to share my latest project, where I delved into the world of data analysis using Microsoft Azure for the very first time. 🚀 🌐 Project Title: Tokyo Olympics Data Analysis 🥇🏟️ 🔧 Technologies Utilized: Microsoft Azure: My journey began with setting up and exploring Microsoft Azure, a powerful cloud platform. This versatile tool allowed me to seamlessly manage, store, and analyze data, making it an ideal choice for my project. Azure Databricks: Leveraging Azure Databricks, I was able to process and analyze vast amounts of Tokyo Olympics data efficiently. The collaborative and integrated workspace streamlined my data exploration and analysis, allowing me to derive valuable insights. Azure Synapse Analytics: To take my analysis to the next level, I employed Azure Synapse Analytics. This service facilitated real-time querying and data warehousing, enabling me to uncover hidden patterns and trends within the Olympic data. 📈 Project Highlights: *Extracted the dataset from GitHub and stored data on Azure. *Leveraged Azure Databricks for in-depth data transformation and preparation. *Utilized Azure Synapse Analytics to get meaningful insights. *Explored various aspects of the Tokyo Olympics, including athlete performance, medal standings, and event trends.

💡 Lessons Learned: Microsoft Azure offers a robust and user-friendly environment for data analysis and management. Azure Databricks and Synapse Analytics are essential tools for anyone looking to gain valuable insights from complex datasets.

Architecture

image

Steps

  1. Create a Storage account in the Azure image

  2. Create a new container image

  3. Create two files one for raw data and other for transformed data image

  4. Create a data factory image image

  5. Create a Pipeline image

  6. Create databricks and create compute image

  7. Connect container with databricks image

  8. Transform the data in datacks image

  9. create snypase

  10. image

  11. image

  12. image

Comclusion

Microsoft Azure offers a robust and user-friendly environment for data analysis and management. Azure Databricks and Synapse Analytics are essential tools for anyone looking to gain valuable insights from complex datasets.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published