12-07-2022, 01:12 PM
Master course of Data Modeling
Business Analysis of Data Modeling - Business Intelligence and Top Data Science Course and become a Data Analyst
Rating: 0.0 out of 5
(0 ratings)
264 students
1 hour on-demand video
Description
Master Course of Data modeling is all about the process of creating a simplified diagram of a software system and the data elements it contains, using text and symbols to represent the data and how it flows. Data models provide a blueprint for designing a new database or reengineering a legacy application. Overall, data modeling helps an organization use its data effectively to meet business needs for information.
A data model can be thought of as a flowchart that illustrates data entities, their attributes and the relationships between entities. It enables data management and analytics teams to document data requirements for applications and identify errors in development plans before any code is written.
Alternatively, data models can be created through reverse-engineering efforts that extract them from existing systems. That's done to document the structure of relational databases that were built on an ad hoc basis without upfront data modeling and to define schemas for sets of raw data stored in data lakes or NoSQL databases to support specific analytics applications.
Data modeling occurs at three levels—physical, logical, and conceptual.
https://www.udemy.com/course/business-intelligence-data-modeling/?couponCode=8D4116D9E1388514EA70
Enjoy!
Business Analysis of Data Modeling - Business Intelligence and Top Data Science Course and become a Data Analyst
Rating: 0.0 out of 5
(0 ratings)
264 students
1 hour on-demand video
Description
Master Course of Data modeling is all about the process of creating a simplified diagram of a software system and the data elements it contains, using text and symbols to represent the data and how it flows. Data models provide a blueprint for designing a new database or reengineering a legacy application. Overall, data modeling helps an organization use its data effectively to meet business needs for information.
A data model can be thought of as a flowchart that illustrates data entities, their attributes and the relationships between entities. It enables data management and analytics teams to document data requirements for applications and identify errors in development plans before any code is written.
Alternatively, data models can be created through reverse-engineering efforts that extract them from existing systems. That's done to document the structure of relational databases that were built on an ad hoc basis without upfront data modeling and to define schemas for sets of raw data stored in data lakes or NoSQL databases to support specific analytics applications.
Data modeling occurs at three levels—physical, logical, and conceptual.
https://www.udemy.com/course/business-intelligence-data-modeling/?couponCode=8D4116D9E1388514EA70
Enjoy!