Data Fabric Digital Array Processing in Road Transport Systems

Abstract

The article discusses the technology of processing data arrays in Data Fabric using the QML language, which is a powerful open source data management tool. Data is an integral element of the digital transformation of enterprises. But as organizations seek to leverage their data, they face the challenge of handling data from multiple environments and platforms. This predicament with multi-dimensional data becomes even more difficult when hybrid and multi-cloud environments and architectures are implemented in the organization. Today, for many businesses, operational data has largely remained siled and hidden, resulting in massive amounts of big unstructured data. While it’s not enough to simply collect and store large amounts of data, companies need to seamlessly and securely access, manage, and use that data to drive digital transformation and successfully implement artificial intelligence. Data must not only be collected and stored, but also structured and analyzed in order to further use it to make business management decisions. Such decisions can be made not only by shareholders and top managers, but also by middle managers, as well as all employees who need it. In other words, data and the results of their analysis in a modern enterprise should become a service. Such a service should be as flexible and scalable as possible, easily adapting to the needs and size of the organization. Data Fabric solves these serious and complex tasks. It is important to understand that this is not a "boxed" solution, which is enough to buy, install, configure integration with existing systems, and then successfully operate. We are talking about methodologies, so you need to understand how they work, how to apply them correctly. The article is aimed at stimulating further developments and providing useful materials for future research in this area.