Data is growing exponentially and the Internet of Things (IoT) data is the fastest-growing data segment, followed by social media. Data Architecture (DA), focuses on describing collecting, storing, processing, and analyzing the data to meet the business needs for information. In this tool demo paper, we present our architecture-driven named DAT. This tool enables data architects, data engineers, and other stakeholders to describe the data flow, data pipeline, and data architecture in a simple and easy way. We evaluated this work by modeling five case studies, receiving expressiveness and ease of use feedbacks from two different companies, more than six researchers, and eighteen undergraduate students from the software architecture course.
Fri 23 SepDisplayed time zone: Belgrade, Bratislava, Budapest, Ljubljana, Prague change
09:00 - 10:30
|ProML: A Decentralised Architecture for Provenance Management of Machine Learning Software SystemsBest paper candidate|
|A systematic survey of architectural approaches and trade-offs in data de-identification|
|Accurate Performance Predictions with Component-based Models of Data Streaming ApplicationsBest paper candidate|
|DAT: A Tool for Data Architecture for IoT|
Tools & Demos
A: Moamin Abughazala University of L'Aquila, A: Henry Muccini University of L'Aquila, Italy, A: Mohammad SharafMedia Attached
|Blockchain-based Architecture of Immutable Document Repository|
Each paper is presented as a 5-minute pitch talk at the beginning. The rest of the session is a discussion.
After reaching the 3rd floor (either by elevator or the main staircase), turn right.