This is version 1 of the Tokyo Olympics Azure Data Engineering Project, created and maintained by [Kokit0]. For more details and the latest updates, please visit the project on GitHub.
In this project, we explore and analyze Olympic data using a variety of tools and technologies, with a primary focus on Microsoft Azure services. The project leverages Azure Data Factory, Data Lake Gen 2, Synapse Analytics, and Azure Databricks to perform data engineering tasks, analysis, and visualization.
Here we will list any prerequisites or dependencies that users need to have installed before they can use this project. For example, you can mention specific Azure services, software packages, or tools.
Here we will provide instructions on how to install and set up the project. Include any necessary steps, configuration details, and installation scripts if applicable.
Here, we will explain how to use the project. Including examples, code snippets, and any relevant information that will help users understand how to work with the data and technologies involved.
If you'd like to contribute to this project, please refer to the Contributing Guidelines.
For questions or feedback, feel free to reach out to Mail me! or visit my GitHub Account.
This project is licensed under the [MIT] - see the LICENSE file for details.
Credit to Darshil Parmar who inspired me to design this in the Azure ecosystem , to Krish Naik for his amazing inputs on his own projects and to Kaggle for providing the Data for free at Kaggle Dataset