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Importance of Data Dictionary

Data Dictionary provides a metadata about the data explaining the meaning of each and every field, data types of the field, sample values etc. Understanding the business context of fields in the data helps one to use appropriate features in the model. Data Dictionaries play an important role in understanding the data before we dive deep into it. In order to get started with Modelling, it is very important to understand the data.

1. Data Types of fields

2. Sample values of fields

3. Business Unit responsible for capture of the field

4. Point of Contact from the responsible business Unit for every field.

5. Detailed Business context, understanding of every field.

1. Metadata to build data models and extend the database for the Database Team

2. Business understanding of the data which helps the Analytics team in an organization.

1. Standardized Tabular data dictionaries — This is always represented in a tabular format, reflecting the relational database structure.

2. Database Schema — This is the schematic representation of Data Dictionary through the Fact and Dimension tables. There can be 2 approaches followed to develop a schema based on database structure, Star Schema & Snowflake Schema.

Data Dictionaries were only used by Database Administrators in the earlier days. But, in recent times, marketing, analytics, business & other units of a company have been diving deep to get a detailed understanding of the Data Dictionary which helps them understand the company’s data in detail. Marketing teams can build…

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