Description: The Functionality Testing Framework in data analytics platforms is a structure designed to evaluate and validate the functional capabilities of these systems. It combines data storage and analytics into a single service, allowing organizations to integrate and analyze large volumes of data efficiently. This framework provides a set of tools and methodologies that ensure the functionalities implemented on the platform meet the requirements set by users and organizations. Through systematic testing, errors, inconsistencies, and areas for improvement can be identified, resulting in greater confidence in data quality and the accuracy of analyses. Additionally, the framework allows for the automation of tests, facilitating continuous integration and deployment of new functionalities. In an environment where data is increasingly critical for decision-making, having a robust framework to test the functionality of data analytics solutions becomes essential to ensure that they are effective and reliable.
