A Digital Media Company Modernizes its Infrastructure and Enhances Data Insights with Amazon DynamoDB

Solutions

• The solution depicts storing, analysing and organizing metadata into Amazon DynamoDB which enables efficiently accesiblity based on Object Detection Entities and Celebrity Detection Entities.
• Amaozn DynamoDB plays a crucial role for storing the AI-processed metadata and user defined metadata pertaining to the uploaded objects acting as a primary database.
• Objects uploaded on Amazon S3 via the pre-signed URLs trigger Lambda on Amazon S3 PUT event which records an entry in Amazon DynamoDB table with user-defined metadata.
• The Amazon DynamoDB stream is utilized to filter and process files based on the file type to perform various tasks, such as Amazon Rekognition  to detect Entities and Amazon Comprehend to detect key phrases.
• Data is stored in Amazon DynamoDB using proper naming convention based on the user’s metadata, improving the accessibility through the web application.
• Amazon DynamoDB stores the data like UID, Date/time, Description, Manual Tags, s3 URL, S3_Location, Upload_format, and user information having proper partition and sort keys making it easy for querying the data.
• Implemented a CI/CD leveraging AWS services like AWS CodeBuild, AWS CodePipeline to automate code deployments stored on AWS CodeCommit.
• The AWS services leveraged in building the solution are AWS Lambda, Amazon DynamoDB, Amazon API Gateway, Amazon Comprehend, Amazon Rekognition, Amazon CloudFront, and Amazon S3.