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Creating Movies database
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Inserting values in different tables-1
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Inserting values in different tables-2
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Interacting with Movies database
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selecting actor table of movie database
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Retrieving all movies with their actors and character names
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Retrieve all movies directed by a specific director (e.g., Christopher Nolan)
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Retrieve all actors born after a certain date (e.g., January 1, 1980)
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Retrieving movies with a rating higher than a certain value (e.g., 8.0):
Inspiration
My inspiration for creating the Movies database stemmed from our passion for cinema and desire to create a comprehensive platform where users can explore, discover, and engage seamlessly with their favorite movies and actors.
What it does
The Movies database is a centralized repository for storing information about movies, actors, directors, and their relationships. Users can query the database to retrieve details about specific movies, explore the cast and crew, and discover new films based on genre, release year, or director.
How we built it
I built the Movies database using SQL to define the schema and create tables for storing movie-related data. We carefully structured the database to maintain relationships between movies, actors, and directors. Additionally, we populated the database with sample data to showcase its functionality and enable users to interact with it.
Challenges we ran into
One of the main challenges we encountered was designing the database schema to efficiently handle the complex relationships between movies, actors, and directors. We had to carefully plan the structure and ensure data integrity while accommodating various queries and use cases.
Accomplishments that we're proud of
I am proud to have successfully created a robust and user-friendly database for movies. I overcame the challenges of designing and implementing the schema, and we're excited about the potential of the database to serve as a valuable resource for movie enthusiasts.
What we learned
Through this project, we gained valuable experience in database design, SQL query optimization, and data modeling. We learned how to effectively structure a database to handle complex relationships and accommodate diverse user queries and requirements.
What's next for the Movies database
In the future, we plan to further enhance the Movies database by adding additional features such as user authentication, user ratings and reviews, and recommendations based on user preferences. We also aim to continuously update the database with new movie releases and actor information to keep it relevant and up-to-date.
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