Effective management of sample data storage is crucial for ensuring smooth testing and validation of data quality within the Data Integrity Suite. This feature allows users to securely store sample datasets in a designated space, which can then be accessed for quality checks, rule execution, and validation processes.
Data Sample Storage in the Data Integrity Suite refers to a dedicated space where sample data is stored for testing, validation, and quality assurance. This storage can be configured in one of two ways: using Precisely Cloud or an AWS S3 bucket, depending on user preference. This flexibility allows users to store their data securely and ensure accessibility for performing data integrity checks.
Why is data sample storage important?
- Security: Properly managed storage ensures compliance with security protocols, protecting sensitive data during the testing process.
- Accessibility: Configuring the sample storage in the cloud or in AWS S3 allows for seamless access to data whenever needed for validation purposes.
- Efficiency: Centralizing sample data storage helps streamline testing workflows, reducing delays and improving the accuracy of quality checks.
By offering the choice between Precisely Cloud and AWS S3, the platform provides flexibility, enabling users to adopt a storage option that best aligns with their infrastructure and security requirements.
It's important to note that Data Sample Storage is an optional feature within the Data Integrity Suite. While it is not mandatory for running data pipelines or quality checks, utilizing this functionality enhances your ability to perform thorough testing and validation in a secure and efficient manner. Users who opt to set up this storage can benefit from greater control over their testing data and more streamlined validation processes. However, if users prefer not to configure this feature, they can still proceed with pipeline execution without it.