  Data is the key to success for any Data-Driven Organization, and managing it
is considered the most challenging task. Data Architecture (DA) focuses on
describing, collecting, storing, processing, and analyzing the data to meet
business needs. In this tool demo paper, we present the DAT, a model-driven
engineering tool enabling data architects, data engineers, and other
stakeholders to describe how data flows through the system and provides a
blueprint for managing data that saves time and effort dedicated to Data
Architectures for IoT applications. We evaluated this work by modeling five
case studies, receiving expressiveness and ease of use feedback from two
companies, more than six researchers, and eighteen undergraduate students from
the software architecture course
