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Smart cities and buildings
Published in Pieter Pauwels, Kris McGlinn, Buildings and Semantics, 2023
Hendro Wicaksono, Baris Yuce, Kris McGlinn, Ozum Calli
To allow value creation from data collected through digitisation and the integration of IoT in the city infrastructure, a data infrastructure is required in the smart city context. The data infrastructure manages the data storage, provides features and tools for analytics, and assures data security, privacy, and quality. The data infrastructure enables the delivery of smart and interconnected services to citizen and city stakeholders such as policymakers, industry, and investors. The data infrastructure is depicted in Figure 11.9.
A Systematic Review of Data Analytics Job Requirements and Online-Courses
Published in Journal of Computer Information Systems, 2022
Mohamad Almgerbi, Andrea De Mauro, Adham Kahlawi, Valentina Poggioni
The skill set refers to the capacity to provide overall direction and coordination in the planning, execution and monitoring of data transformation projects. We found that jobs calling out the need for this skill set include either: a) the responsibility of driving direct business impact with data by executing commercial or marketing activities as a response of data prescriptions, or b) the accountability for process transformation based on data-based tools, or c) the design and deployment of data infrastructure, platforms or applications. These three cases cover a broad set of data-related roles in firms, making project management a foundational skill set for all data professionals. This is corroborated by the fact that the skill set is the most frequently present in the analyzed corpus of job posts (27.0% of relative presence).
Blockchain application in modern logistics information sharing: a review and case study analysis
Published in Production Planning & Control, 2022
The basic, core, and interaction modules comprise the integration framework. The basic module includes the data infrastructure and data layer. The data infrastructure is centred on data (logistics information, transaction data, etc.) and deeply integrates computing, storage, network, and software resources to fully mine data value. The data layer records the data, and its main components are transaction data, timestamps, hash functions, and Merkle trees (Ruan et al. 2019).