Programs that use database software to store, manage, analyze, manipulate, and retrieve data securely tend to exist in different forms of proximity in inter-organizational collaboration (Panetti et al., 2020).In the context of analysis, generalization-based data mining as a route for scalability and reliability, according to Hardt & Recht (2022), has provided us with massive data.
This explosive growth in data and databases has generated an urgent need for new techniques and tools that can intelligently and automatically transform the processed data into useful information and knowledge. Object-oriented database systems at the core of knowledge discovery are based on algorithms, according to Shehab et al. (2020), that explore data and extract valuable information from emerging patterns (Meng, 2021). Load More
Serving as rich and reliable sources for knowledge generation and verification, the discovered knowledge can be applied to information management, query processing, decision making, and process control (Lepenioti, 2020). Some applications involve mining sensitive data about individuals or corporations.
This has led to a growing concern that data mining can violate individual privacy and attempts to limit its implementation (Drachsler & Greller, 2016). For example, these semantic foundations and optimization strategies are known informally as impedance mismatches in programming. |
According to Detrich (2021), a programming impedance mismatch are rules, policies, and models that determine what kind of data gets collected and how it is used and processed.
Examples include algorithms and data structures versus relations and indexes, null pointers versus nulls for missing data, and different approaches to modularity and information hiding.
Because databases and programming languages can perform many of the same tasks, copy data from one site and reproduce it on the other and queries can be set out to extract information from another source and report it on your site, computers now hold credit card accounts that represent $68 billion in outstanding debt, 10.3 trillion in residential mortgages (Campbell et al., 2021) and medical claims further highlight how different slices of consumer data can be pulled together to create a composite picture of any individual's life.
Because databases and programming languages can perform many of the same tasks, copy data from one site and reproduce it on the other and queries can be set out to extract information from another source and report it on your site, computers now hold credit card accounts that represent $68 billion in outstanding debt, 10.3 trillion in residential mortgages (Campbell et al., 2021) and medical claims further highlight how different slices of consumer data can be pulled together to create a composite picture of any individual's life.
As a result, (Van Steen & Tanenbaum 2017), distributed execution requires developers to make difficult architectural decisions about organizing and partitioning system functionality, efficient structuring, and managing specialized communication patterns.
Programming languages do not facilitate effective use of databases (Shen & Rinard, 2019), and attaining good performance usually requires careful optimization based on expert knowledge, making programs challenging to maintain and evolve. This paper's primary contribution is to provide a reasonable basis for understanding the decisions made by architects in selecting solutions for integrating programming languages and databases and a guide for future research. Reference
Campbell, J. Y., Clara, N., & Cocco, J. F. (2021). Structuring mortgages for macroeconomic stability. The Journal of Finance, 76(5), 2525-2576. Dietrich, S. W. (2021). Understanding Databases: Concepts and Practice. United Kingdom: Wiley. Drachsler, H., & Greller, W. (2016, April). Privacy and analytics: it's a DELICATE issue, a checklist for trusted learning analytics. In Proceedings of the sixth international conference on learning analytics & knowledge (pp. 89-98). Hardt, M., & Recht, B. (2022). Patterns, predictions, and actions: A story about machine learning. Lepenioti, K., Bousdekis, A., Apostolou, D., & Mentzas, G. (2020). Prescriptive analytics: Literature review and research challenges. International Journal of Information Management, 50, 57-70. Meng, H., Lei, T., Li, M., Li, K., Xiong, N., & Wang, L. (Eds.). (2021). Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (Vol. 88). Springer Nature. Panetti, E., Parmentola, A., Ferretti, M., & Reynolds, E. B. (2020). Exploring the relational dimension in a smart innovation ecosystem: A comprehensive framework to define the network structure and the network portfolio. The Journal of Technology Transfer, 45(6), 1775-1796. Shehab, M., Abualigah, L., Jarrah, M. I., Alomari, O. A., & Daoud, M. S. (2020). (AIAM2019) Artificial Intelligence in Software Engineering and inverse. International Journal of Computer Integrated Manufacturing, 33(10-11), 1129-1144. Shen, J., & Rinard, M. C. (2019, June). Using active learning to synthesize models of applications that access databases. In Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation (pp. 269-285). Van Steen, M., & Tanenbaum, A. S. (2017). Distributed systems. Leiden, The Netherlands: Maarten van Steen. |
Database Concepts
In applying process modeling to workflow automation infrastructure, today's business enterprises must deal with global competition, reduce business costs, and rapidly develop new services and products.To address these requirements, according to Walsh et al. (2020), enterprises conceptualize innovation as a process where technological knowledge's scientific and industrial application nurtures new routines and institutions to relate changing business model innovations to innovation cascades.
According to Müller (2018), workflow technology facilitates these by providing methodologies and software to (i) help business process modeling to provide a semantic notion of actor accountability as a virtue and as a mechanism of business process compliance, (ii) reduce the number of activities it takes to carry out specified processes, and (iii) to be scalable (Dennis et al., 2015), implement a solution directed to reality, both now and in the future. Load More
Although there is concurrent and predictive validity of classification schemes that allow architectures for enterprise integration and interoperability, activities performed in ubiquitous computing are inherent behaviors that "weave themselves in the fabric of everyday life until they are indistinguishable from it' (Weske et al., 2018, p. 127). |
A critical principle in process modeling with data flow diagrams (DFDs) is decomposing the business processes into a series of DFDs (Al Shereiqi & Baghdadi, 2020).
Although these approaches make a possible analytic hierarchy, the type of measurement utilized, and its properties and applications representing symbolic structures, attrition as indicators for program improvement, according to (Lamine et al., 2020), can be fields within qualitative and quantitative approaches for practical problems.
The cornerstones of enterprise architecture may not be the methods for building information systems but rather the human inability to anticipate everything that can happen (Pańkowska, 2017).
Explaining spatial patterns of innovation consists of service-oriented modeling; activity diagrams focus on responsibilities tied to system usage, whereas the sequence diagram helps you understand an object in Unified Modeling Language (UML) (Xue et al., 2021).
The cornerstones of enterprise architecture may not be the methods for building information systems but rather the human inability to anticipate everything that can happen (Pańkowska, 2017).
Explaining spatial patterns of innovation consists of service-oriented modeling; activity diagrams focus on responsibilities tied to system usage, whereas the sequence diagram helps you understand an object in Unified Modeling Language (UML) (Xue et al., 2021).
Knowledge reuse for innovation increases value relevance by language for commuting ideas attributed to the redundancy wiring of the functional web, defining atomic activities comprising the lowest level of decomposition not shared by all redundant systems (de Silva & Matelli, 2021).Although one diagramming tool may not be enough for analyzing the design and then may require a framework for expressing the relationship between multiple views in the requirements specification (Richards & Ford, 2020), rethinking the role of enterprise architect and business analyst, according to Edmondson & Harvey (2017) are assumed as a service co-production and value co-creation, alternatively, transformational and transactional leadership style and cultural orientation on performance and creativity-relevant processes in functionally heterogeneous teams form cycles of collective cognition.
Reference
Al Shereiqi, A., & Baghdadi, Y. (2020). Business Process Mining for Service Oriented Architecture. In ICT for an Inclusive World (pp. 3-19). Springer, Cham. da Silva, F. S., & Matelli, J. A. (2021). Resilience in cogeneration systems: Metrics for evaluation and influence of design aspects. Reliability Engineering & System Safety, 212, 107444. Dennis, A., Wixom, B., & Tegarden, D. (2015). Systems analysis and design: An object-oriented approach with UML. John wiley & sons. Edmondson, A. C., & Harvey, J. F. (2017). Extreme teaming: Lessons in complex, cross-sector leadership. Emerald Publishing Limited. Lamine, E., Thabet, R., Sienou, A., Bork, D., Fontanili, F., & Pingaud, H. (2020). BPRIM: An integrated framework for business process management and risk management. Computers in Industry, 117, 103199. Müller, G. (2018). Workflow Modeling Assistance by Case-based Reasoning. Germany: Springer Fachmedien Wiesbaden. Pańkowska, M. (2017). Enterprise architecture context analysis proposal. In Complexity in Information Systems Development (pp. 117-134). Springer, Cham. Richards, M., & Ford, N. (2020). Fundamentals of Software Architecture: An Engineering Approach. O'Reilly Media. Walsh, P. P., Murphy, E., & Horan, D. (2020). The role of science, technology and innovation in the UN 2030 agenda. Technological Forecasting and Social Change, 154, 119957. Weske, M., Montali, M., Weber, I., & vom Brocke, J. (Eds.). (2018). Business Process Management Forum: BPM Forum 2018, Sydney, NSW, Australia, September 9-14, 2018, Proceedings (Vol. 329). Springer. Xue, J., Nagoya, F., Liu, S., & Duan, Z. (2021). Structured Object-Oriented Formal Language and Method. Springer International Publishing. |
New Order Processing System
Validating an essential new tool for intersubjectivity of any given data structure case may include mechanisms for monitoring and validating data in databases (Behnke et al., 2021).Typically structured in table formats to allow for easier searching and filtering for specific information (Engel, 2017), risk evaluation of the data activities, business, and technical risk, and reporting network-based system for technology-enhanced assessment that ensures the audit analytics protocol for operational processes defines a complete lifecycle process framework, provide information on standard existing tools and methods (Li et al., 2020), support basic guiding principle on security, and summarize further traditional development activities (Shah et al., 2020).
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In some embodiments, the acceptance criteria may include evaluating the current state of centralized, human-based to a shared, algorithm-based trust model against misaligned incentives and across sub-categories to address stakeholders' assurance and compliance needs. Classifications may perform this evaluation by employing binary decisions in the form of questions, a risk evaluation system as high, medium, or low (Vincent & Prince, 2021). |
By highlighting how the current state is often fragmented and assumes that other guidelines or standards cover their open issues, you not only accomplish the goal of increasing your organization's security posture but also build security into efforts, thus achieving a win-win situation (Herig et al., 2013). According to Heriz et al. (2013), the most crucial relationships will be with your compliance, legal, and audit departments.
Contrary to popular belief, these departments will significantly assist you in defining requirements, where the performance is inadequate, and why you hope to improve it.
According to Manning & Soon (2019), internal audits can fill gaps left by previous collection or existing intelligence databases, provide risk and mitigating controls, and offer methods to assess risk levels. In addition to making auditors and lawyers close confidants as strategic friendships (Sassaman, 2020), involving policy creation, approval, and implementation also implies that they enjoy some capacity and flexibility to act and identify local comparative advantages and relevant development projects, including adequate responsibilities and resources.
Contrary to popular belief, these departments will significantly assist you in defining requirements, where the performance is inadequate, and why you hope to improve it.
According to Manning & Soon (2019), internal audits can fill gaps left by previous collection or existing intelligence databases, provide risk and mitigating controls, and offer methods to assess risk levels. In addition to making auditors and lawyers close confidants as strategic friendships (Sassaman, 2020), involving policy creation, approval, and implementation also implies that they enjoy some capacity and flexibility to act and identify local comparative advantages and relevant development projects, including adequate responsibilities and resources.
Once relationships have been established, creating a governance team means duties of various levels have been codified in policy, legislation, standards, oversight, financing, administration, performance monitoring, evaluation, feedback, and redress mechanisms (Olabanji, 2019).
According to Herzig et al. (2013), governance committee members should be from Human Resources (HR), Legal, Compliance, Clinical Informatics, Information Technology, Privacy, Health Information Management, and Revenue, also known as Finance. Load More
This broad representation will drive success through effective and efficient business processes. Due to its impact on individual behavior and needs, intra/inter-company collaboration, members should be directors or higher to ensure strategic sustainability planning. Organizational disclosure practices in managing the risks related to developing innovations transparently and responsibly are driven from the top down (Herzig et al., 2013). In addition to providing the appropriate training and exercises, this group's ultimate responsibility will be to identify any existing security measures and operations where security may be an issue. Reference
Behnke, M., Valik, J. K., Gubbels, S., Teixeira, D., Kristensen, B., Abbas, M., ... & Tängdén, T. (2021). Information technology aspects of large-scale implementation of automated surveillance of healthcare-associated infections. Clinical Microbiology and Infection, 27, S29-S39. Engel, J. (2017). Improving retrieval of structured and unstructured information: Practical steps for better classification, navigation and search. Business Information Review, 34(2), 86-95. Herzig, T., & Walsh, T. (2020). Implementing information security in healthcare: building a security program. CRC Press. Li, R., Verhagen, W. J., & Curran, R. (2020). A systematic methodology for Prognostic and Health Management system architecture definition. Reliability Engineering & System Safety, 193, 106598. Manning, L., & Soon, J. M. (2019). Food fraud vulnerability assessment: Reliable data sources and effective assessment approaches. Trends in Food Science & Technology, 91, 159-168. Olabanji, O. (2019). Exploring the application of information security governance in mitigating insider negligence threats: A qualitative analysis (Doctoral dissertation, Capella University). Sassaman, K. E. (2020). Information Security Planning. In Implementing Information Security in Healthcare (pp. 19-26). HIMSS Publishing. Shah, A., Ganesan, R., Jajodia, S., & Cam, H. (2020). An outsourcing model for alert analysis in a cybersecurity operations center. ACM Transactions on the Web (TWEB), 14(1), 1-22. Vincent, T., & Prince, U. (2021). Implementation Of Critical Information Infrastructure Protection Techniques Against Cyber Attacks Using Big Data Analytics. |