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SQL for Data Engineering: Transactions, views, and indices are demonstrated in this project, highlighting my proficiency in utilizing these tools to manage and optimize relational databases.
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Dashboard Design: The project also highlights my ability to design and create a dashboard that is both visually appealing and informative.
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Power BI Integration: It showcases my ability to work with Power BI by connecting the built dashboards to the provided database.
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Graphical Database Management Tool: To execute the queries, SQLite Studio, a graphical tool for managing and editing SQLite databases, was employed.
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Clone the Repository: Clone this repository to your local machine.
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Create the Database: To set up the database, use a tool like DB Browser for SQLite or SQLite Studio. Open the
sales - database - script
file located in thedatabase
folder of the repository. -
Run SQL Queries: Utilize a SQL client (DB Browser for SQLite or SQLite Studio) to execute the SQL queries included in the
queries.sql
file, found within thequeries
folder. The queries are commented to aid understanding. -
Explore Results: Dive into the query results to gain insights into the gaming database.
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Connection to Power BI (Optional): By following the steps outlined above, you can connect the Power BI dashboards built to the database.
- Download the SQLite driver, then connect your database to Power BI Desktop.
- Create visualizations based on the imported dataset.
- Publish the report to Power BI Service.
I hope this repository proves useful for exploring the exciting world of data, combining tools like SQLite and Power BI to enhance your data analysis skills.