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EntityRelationship Modelling1What is it about? The model is later transformed into a Logical model (e.g. relational) on which the physical database is builtThe most widely used form of Semantic modelling:
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How to fill out logical vs physical data
How to fill out logical vs physical data
01
Identify the purpose of the logical data model, which is to show the data structure and relationships without considering physical storage.
02
Gather the business requirements and analyze the data entities and attributes needed.
03
Create a high-level overview of the logical model, including entities, relationships, and keys.
04
Define the physical data model, focusing on how the data will be stored, including table structures, data types, and indexing.
05
Specify physical storage details such as file organization and database constraints.
06
Validate both models with stakeholders to ensure that they meet business needs and technical requirements.
Who needs logical vs physical data?
01
Database designers and architects need logical and physical data models to structure and implement databases.
02
Business analysts require logical data models to understand data relationships and requirements.
03
Developers use physical data models for implementation details and to optimize database performance.
04
Data analysts might need both models to ensure accurate reporting and data analysis.
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What is logical vs physical data?
Logical data refers to the way data is structured, represented, and managed, while physical data concerns the actual storage of that data on hardware.
Who is required to file logical vs physical data?
Organizations that collect, analyze, and report data for regulatory, compliance, or operational purposes are typically required to file logical and physical data.
How to fill out logical vs physical data?
To fill out logical vs physical data, one must gather the necessary information, ensure it complies with relevant formats and guidelines, and accurately reflect the required data structures and storage details.
What is the purpose of logical vs physical data?
The purpose of logical vs physical data is to ensure data quality, integrity, and accessibility while meeting compliance and reporting requirements.
What information must be reported on logical vs physical data?
Information such as data schemas, operational metadata, storage methods, and data lineage should be reported for logical and physical data.
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