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What is Data Modeling

The Software Principles of Design for Data Modeling
The process of creating a conceptual representation of data objects and their relationships to each other, as well as their attributes and constraints. Data modeling is a critical step in software development as it provides a foundation for database design, application development, and data analysis.
Published in Chapter:
The Art of Breaking Down: Mastering Microservice Architecture and Data Modeling Strategy
Tapan Kumar Behera (Department of Technology Management, Forrester Research, USA)
Copyright: © 2023 |Pages: 16
DOI: 10.4018/978-1-6684-9809-5.ch006
Abstract
Microservice architecture (MSA) is a popular software architecture style for developing scalable and resilient applications. However, designing data models for MSA presents unique challenges that require careful consideration. This chapter explores the relationship between MSA and data modeling and provides insights into best practices for designing data models that are optimized for MSA. It defines MSA and its key principles, examines the implications of MSA on data modeling, and discusses strategies for designing data models that are modular, decoupled, and flexible. The chapter also presents several case studies of organizations that have implemented MSA and data modeling strategies and discusses future trends in MSA and data modeling strategy, including the use of artificial intelligence and machine learning to automate data modeling. By following the best practices outlined in this chapter, organizations can realize the benefits of MSA while ensuring data consistency, scalability, and maintainability.
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More Results
Verification and Validation of Simulation Models
is a lengthy and difficult work to accomplish, and some study stated that up to 33% of the complete time used in a simulation analysis can be used on data modeling
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Cloud Analytics: Introduction, Tools, Applications, Challenges, and Future Trends
Power BI equips users with a suite of tools for data modelling, encompassing functionalities such as relationship establishment, calculated column creation, and defining measures. This capability enables users to craft data models tailored to their specific business requirements and hierarchies, ensuring a structured data framework conducive to extracting meaningful insights.
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A Preliminary Framework to Fight Tax Evasion in the Home Renovation Market
The development of a statistical or algorithmic model to describe, explain and predict a well-defined phenomenon or problem by employing a large variety of variables and observations (cases).
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Basics to Develop Web Services for Human Resources
The process of analyzing and identifying data objects and their relationships amongst each other within certain contexts like business or others where they are used. It is a first step into object-oriented programming,
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