Cloud Billing Database (HVM is an Amazon Machine Image (AMI) designed to transform AWS billing data from separate CSV files stored in Amazon S3 into a structured relational database format. This solution comes preloaded with a PostgreSQL database and an automated service that updates the database hourly, ensuring that the most current billing information is readily accessible. By centralizing billing data, users can efficiently generate reports, analyze user-defined tags, and perform comprehensive analyses spanning multiple billing periods. Additionally, the database can be accessed via ODBC, facilitating seamless integration with analysis tools like Microsoft Office.
Key Features and Functionality:
- Automated Data Integration: The service automatically loads and updates billing data into a PostgreSQL database every hour, eliminating the need for manual management of S3 billing files.
- Enhanced Reporting Capabilities: Users can generate detailed reports that span multiple billing periods and analyze user-defined tags, providing deeper insights into AWS usage and costs.
- Web-Based Access: The included web application allows users to interact directly with the billing data through any web browser, offering a user-friendly interface for data exploration.
- ODBC Compatibility: The database's compatibility with ODBC enables integration with various analysis tools, such as Microsoft Office, for customized reporting and data analysis.
Primary Value and Problem Solved:
Cloud Billing Database (HVM addresses the challenge of managing and analyzing AWS billing data by converting disparate CSV files into a centralized, relational database. This transformation empowers users to perform in-depth analyses, generate comprehensive reports, and gain valuable insights into their AWS expenditures without the need for constant technical support. By automating data integration and providing accessible tools for data interaction, the solution enhances operational efficiency and decision-making processes related to cloud resource management.
Seller
Dowd and AssociatesProduct Description
Cloud Billing Database (HVM is an Amazon Machine Image (AMI) designed to transform AWS billing data from separate CSV files stored in Amazon S3 into a structured relational database format. This solution comes preloaded with a PostgreSQL database and an automated service that updates the database hourly, ensuring that the most current billing information is readily accessible. By centralizing billing data, users can efficiently generate reports, analyze user-defined tags, and perform comprehensive analyses spanning multiple billing periods. Additionally, the database can be accessed via ODBC, facilitating seamless integration with analysis tools like Microsoft Office.
Key Features and Functionality:
- Automated Data Integration: The service automatically loads and updates billing data into a PostgreSQL database every hour, eliminating the need for manual management of S3 billing files.
- Enhanced Reporting Capabilities: Users can generate detailed reports that span multiple billing periods and analyze user-defined tags, providing deeper insights into AWS usage and costs.
- Web-Based Access: The included web application allows users to interact directly with the billing data through any web browser, offering a user-friendly interface for data exploration.
- ODBC Compatibility: The database's compatibility with ODBC enables integration with various analysis tools, such as Microsoft Office, for customized reporting and data analysis.
Primary Value and Problem Solved:
Cloud Billing Database (HVM addresses the challenge of managing and analyzing AWS billing data by converting disparate CSV files into a centralized, relational database. This transformation empowers users to perform in-depth analyses, generate comprehensive reports, and gain valuable insights into their AWS expenditures without the need for constant technical support. By automating data integration and providing accessible tools for data interaction, the solution enhances operational efficiency and decision-making processes related to cloud resource management.
