Datasy is a comprehensive data management solution designed to simplify the ingestion, transformation, and utilization of data on the AWS Cloud. It offers unlimited scalability and high performance, enabling users to efficiently handle their data processing needs without requiring extensive data science expertise. Datasy automates the configuration of data processing environments, the creation and management of ETL pipelines, and the deployment of machine learning models, all through a centralized web application. Key Features and Functionality: - Infrastructure Automation: Easily configure and build data processing environments using the Datasy Configurator Web Application. - ETL Pipelines Automation: Automatically create, schedule, and manage data processing pipelines for data ingestion, transformation, modeling, and export. - Automatic Machine Learning: Selects and tunes the best prediction or forecasting algorithms from AWS's state-of-the-art offerings to achieve optimal performance. - ML Pipeline Automation: Creates, manages, and schedules pipelines for predictions and forecasts without manual intervention. - Real-Time Predictors: Facilitates the creation, updating, and monitoring of real-time predictors within a unified interface. - User-Friendly Interface: Manages all models and endpoints through a centralized web application, eliminating the need for prior data science experience. Primary Value and User Solutions: Datasy addresses the complexities of data management by automating critical processes such as environment configuration, ETL pipeline management, and machine learning model deployment. This automation reduces the need for specialized data science knowledge, allowing organizations to focus on deriving insights and making data-driven decisions. By providing a scalable and high-performance platform, Datasy enables businesses to efficiently handle large volumes of data, streamline operations, and accelerate their data analytics initiatives.