Master course of Data Modeling

Understanding about the database, data model and data development processHow to analyze the components of logical data model schemaExecute the Business data model and data modeling techniquesSeeking the best Data modeling tools for SQL server in the business IndustryUnderstand the Data modeling in salesforce, power bi and oracleMaster 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.• A physical model is a schema or framework for how data is physically stored in a database.• A conceptual model identifies the high-level, user view of data.• A logical data model sits between the physical and conceptual levels and allows for the logical representation of data to be separate from its physical storage.This blog post will primarily discuss logical data modeling.DATA MODELS DESCRIBE BUSINESS ENTITIES AND RELATIONSHIPSData models are made up of entities, which are the objects or concepts we want to track data about, and they become the tables in a database. Products, vendors, and customers are all examples of potential entities in a data model. 1. Introduction of database, datamodel and data development process2. Components of logical data model schema3. Business data model and data modeling techniques 4. Data modelng tools for SQL server5.  Data modeling in salesforce, power bi and oracleEnroll now and learn today and be a data analystWho this course is for:Computer Science, IT and Business students, Business Analyst, Data Analyst, Data Scientist and Corportate executives