Retrieve data from an api with the data of the frequentation of the cinema in the usa
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Dec 7, 2024 - Shell
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awsathena
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This project demonstrates the use of Amazon Web Services (AWS) to analyze superstore sales data. The analysis was performed using AWS S3 for data storage, AWS Glue for data cataloging, AWS Athena for SQL-based serverless data querying, and AWS Quick Sight for visualization. The project’s objective was to provide actionable insights into sales trend
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Jan 2, 2025
Developing ETL jobs to process YouTube Data using AWS S3, Glue, Lambda, Athena, Redshift and visualizing transformed data with Tableau Desktop
python aws aws-lambda aws-s3 glue pandas pyspark tableau awscloudwatch awsredshift gluecatalog awsathena
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Nov 28, 2024 - Python
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