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Enterprise Data Modeling: Getting Started

To model data is to know data. In this course, you will learn how to create a relational data model, incorporate entities from a decomposed JSON document, create a dimensional model, and build a database from a script generated from your data model.

Beginner
1h 38m
(175)

Created by Joseph Cline

Last Updated Aug 16, 2019

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  • Course

Enterprise Data Modeling: Getting Started

To model data is to know data. In this course, you will learn how to create a relational data model, incorporate entities from a decomposed JSON document, create a dimensional model, and build a database from a script generated from your data model.

Beginner
1h 38m
(175)

Created by Joseph Cline

Last Updated Aug 16, 2019

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What you'll learn

How can you get value from your data if you don’t know your data? How many data projects have you started only to go through the same process of hunting down someone who knows something about the data you need to work with? Do they still work with the company? This is why we model data. In this introductory course, Enterprise Data Modeling: Getting Started, you will learn about the relational data model and normalization techniques. First, you will explore the NoSQL data stores and the JSON data format. Next, you will learn about OLAP and the dimensional model. Finally, you will take what you have learned and put into practice with a few demonstrations including creating a physical data model from a logical model to generate a script to build a database. By the end of the course, you will have a firm understanding of what a data model is, different types of data models, how to apply normalization, the JSON data format, and how to create both a relational and dimensional data model.

Enterprise Data Modeling: Getting Started
Beginner
1h 38m
(175)
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About the author
Joseph Cline - Pluralsight course - Enterprise Data Modeling: Getting Started
Joseph Cline
3 courses 4.5 author rating 615 ratings

Joe is a senior data engineer and has worked as a data management professional in various capacities and titles for the last nineteen years. In his current role, Joe is working to build a competency around big data, predictive analytics, and BI development.

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