[2024] Mastering Data Modeling: Concept to Implementation

Explore the ERD as a blueprint for data models, covering upstream and downstream data flows, ODS and staging, data marts, and the basics of normalization and cardinalities.

Explore what constitutes an entity and its attributes, understand how entities map to tables in a database, and see practical examples like cars, customers, and promotions.

Identify strong, weak, and associative entities, their notations (single rectangular box for strong, double rectangular box for weak), and examples like employee, dependent, and project assignment.

Explore attribute types and notations in ER diagrams, including normal, partial, derived, and multi-valued attributes, and identify key attributes such as primary and foreign keys.

Explain cardinality types—0 or 1, one to many, 1 to 1, one and only one, zero or many, and one or many—using ERD notation with employee, department, passport, and accounts.

Explore how entity-relationship diagrams depict interactions between entities using a rhombus symbol, distinguishing strong and weak relationships with single or double rhombi, and weak entities with double rectangles.

Explore normalization in data modeling by comparing it to the brain, interconnecting entities with primary and foreign keys to reduce data redundancy and enhance data integrity across a relational design.

Discover first normal form by ensuring atomic columns with single data, organizing similar data, and giving each column a distinct name using an employee table example.

Apply second normal form by eliminating partial dependencies in a composite-key table. Break the data into two tables: one with employee number, project, and allocation, and another for project name.

Explore third normal form (3nf) by identifying transitive dependencies and transferring them into a separate table, turning a single employee-department-location dataset into two normalized relations.

Explore the fourth normal form (4nf) by examining multivalued dependencies among employee number, projects, and hobbies. Learn how splitting these into independent tables prevents duplicates and Cartesian products in joins.

Explore the fifth normal form (5nf) by analyzing multivalued and joint dependencies, then decompose a table into three relations: employee, project, and language, and verify lossless joins.

Explore ERP data modeling by examining the three stages: conceptual design, logical design, and physical design, and how they build from high-level concepts to final ERD scripts.

Design a conceptual data model for the given requirement that captures employees, departments, multiple roles, and optional projects. Complete the assignment and review the solution lecture to see the approach.

Design a conceptual data model for employees, departments, roles, and projects, mapping one-to-many relationships and role and project assignments, and preview translating it to a logical business data model.

Transform a conceptual data model into a logical model by adding attributes and keys, then normalize to remove transitive dependencies, validating and iterating the design.

Convert a logical data model into a physical one by mapping attributes to columns, selecting the platform, and applying data types, partitioning, indexes, keys, constraints, and naming standards.

Explore how ERD notations display keys, including primary keys with a key symbol and star, foreign keys with an arrow, and UK and not null conventions.

Learn to use DDL to create tables and views, define primary and foreign keys and checks, manage storage with table spaces, create indexes, and add comments to tables and columns.

Adopt practical naming standards for tables, views, constraints, and procedures to clearly identify object types, and align with company conventions as you prepare for the next lecture on schema setup.

Set up development and production schemas (Scott_dev and Scott_prod), design the data model in conceptual, logical, and physical stages, and generate delta files to keep environments in sync.

Explore data modeling tools including Toad, Oracle Data Modeler, SAP Power Designer, and IBM Infosphere Data Architect, and note licensing costs and hands-on practice with Oracle Data Modeler 23 C.

Download and install the Oracle SQL data modeler (windows 64-bit with JDK included), unzip it, and create a desktop shortcut to begin a logical data model in the next lecture.

Create a data model in Oracle SQL Developer Data Modeler by building entities like employee and department. Define attributes, set primary keys, map one-to-many relationships, then normalize department to location.

Convert a logical model to a physical model with the data modeler tool, creating relational models for Oracle and SQL Server and turning attributes into columns and keys.

Apply naming standards to a physical data model using a CSV abbreviation file to convert table and column names and export the results to SQL Server.

Generate the DDL script from the physical model to create database objects, including column comments, and run it in Oracle SQL Developer to validate tables and privileges.

Compare two data models to identify differences, generate a delta script to add missing objects in the target database, and merge development and production models.

Master reverse engineering in data modeling by creating a data model from database objects, using a data dictionary, connecting to databases, and generating delta scripts to update schemas.

Generate pdf reports from both logical and physical data models by printing to pdf, adjusting scale, and saving named reports in the report folder for sign-off or review.

Explore artifacts in data modeling, including mandatory and optional supporting documents like the business requirement document, data flow and process flow diagrams, governance, quality, regulatory requirements, GDPR and HIPAA.

Explore process flow diagrams and standardized symbols to map the sequence of steps in a business process, and translate them into data models and ER structures.

Learn how a data flow diagram depicts data inputs, outputs, and storage through symbols for external entities, processes, data stores, and data flows, illustrated by a resource deployment case.

Explore data modeling deliverables such as entity relationship diagrams, data flow diagrams, data dictionaries, and metadata; learn to prepare data model reports, glossaries, naming standards, and DDL scripts for customers.

Learn how many-to-many relationships between project and employee are modeled with a bridge table, and how a logical model converts to a physical model with foreign keys and assignment date.

Explore handling huge table data by range partitioning into yearly ranges, enabling faster queries and efficient data purges via dropping partitions.

Learn to store hierarchy data in a database from root to leaves, using either a multi-table design or a geography table with a parent key, enabling top-down traversal.

Identify identifying and non-identifying one-to-many relationships using weak and strong entities. Use loan as a weak entity referencing employee, and department as non-identifying with optional department reference.

Explore deletion modes in data modeling, including no action and cascade. See how deleting a department affects related employees via foreign keys, with examples of errors and cascading deletes.

Design the marketplace for online tutors by developing conceptual, logical, and physical data models, then generate and deploy the delta script across release one and release two.

Explore the business requirement document for a global remote-learning marketplace, detailing multi-currency, time-zone course scheduling, student enrollment, trainer profiles, and release-based features like assignments and coin-based access to student data.

Create a conceptual data model using Lucidchart with user and role entities and one or many relationships, then compare with the PDF and proceed to logical and physical design.

Download Oracle SQL Developer, select your operating system and install with JDK, sign in to Oracle to download and unzip, then create a desktop shortcut and launch the tool.

learn how to create an Oracle database connection in SQL Developer by specifying database type, host name, port, SID or service name, and schema credentials; test and save the connection.