Data Base Design

Database Design Training is the process of creating a detailed database data model that describes how data is stored, organized, and accessed. The goal of Database Design Training is to ensure that data is stored and retrieved efficiently and accurately.

Here are the general steps needed to design a database:

  1. Determine the purpose of the database
  2. Define data requirements
  3. Create a conceptual data model
  4. Convert the conceptual model to a logical model
  5. Data Normalization
  6. Create a physical model
  7. Test the database design

Overall, Database Design Courses requires careful planning, analysis, and testing to ensure that it meets users’ needs and performs optimally.

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Data Base Design Course Details

  • SQL
  • POST Gre SQL

Overview of SQL Server

  • Mac OS – How to set up SQL Server Database on a Mac Computer using Docker
  • Solutions to the SELECT Challenges
  • SELECT DISTINCT Challenges
  • Solutions to the SELECT DISTINCT Challenges
  • Row Ordering – ORDER BY
  • Filtering Data with TOP
  • ORDER BY Challenges
  • Solutions to the ORDER BY Challenges

WHERE Clause – Three-valued Logic

  • Replacing Nulls in Queries
  • WHERE Clause – Comparison Operators
  • WHERE Clause Challenges
  • Solutions to the WHERE Clause Challenges
  • Introduction to Collations and Pattern Matching

Pattern Matching

  • Introduction to Character Data Types
  • Pattern Matching Challenges
  • Solutions to the Pattern Matching Challenges
  • Introduction to Aggregate Functions
  • GROUP BY and Aggregate Functions
  • HAVING Clause
  • Logical Query Processing Order
  • GROUP BY Challenges
  • Solutions to the GROUP BY Challenges
  • AND operator
  • OR operator
  • Operator Precedence
  • IN Operator
  • Logical Operator Challenges
  • Solutions to the Logical Operator Challenges

Outer Joins

  • Integrity Constraints
  • Many-to-many Relationships
  • Join Challenges
  • Solutions to the Join Challenges
  • Composite Joins – Joining on multiple columns
  • Joining more than two tables
  • Predicate placement – ON clause vs WHERE clause
  • Self-referencing Joins
  • Cross Joins
  • Advanced Join Challenges
  • Solutions to the Advanced Join Challenges
  • Set Operator Precedence
  • SET Operator Challenges
  • Solutions to the Set Operator Challenges
  • Self-contained Subqueries

Introduction to Window Functions

  • Common Table Expressions
  • Avoiding the NOT IN trap
  • Subquery Challenges
  • Solutions to the Subquery Challenges
  • Concatenation in SQL Server
  • String Manipulation Functions
  • Date and Time Functions
  • Function Challenges
  • Solutions to the Function Challenges
  • CASE Expression
  • CASE Expression Challenges
  • Solutions to the CASE Expression Challenges

Overview of Data Types

  • DECIMAL Data Type
  • FLOAT Data Type
  • CREATE TABLE Statement
  • INSERT Statement
  • CREATE TABLE Challenges
  • Solutions to the CREATE TABLE Challenges
  • UPDATE Statement
  • DELETE Statement
  • TRUNCATE TABLE statement
  • DROP TABLE Statement
  • Stored Procedures
  • Stored Procedures Demo
  • Stored Procedure Challenges
  • Solutions to the Stored Procedure Challenges

ALTER TABLE Statement and sp_rename

  • ALTER TABLE Challenges
  • Solutions to the ALTER TABLE Challenges
  • UNIQUE Constraints
  • CHECK Constraints

Introduction to Indexes

  • Index Types and Indexing Guidelines
  • Index Types Part 2 – Composite vs Included Columns
  • Indexing and Sargable Query Challenges
  • Solutions to the Indexing and Sargable Query Challenges


  • Functional Dependencies
  • Functional Dependencies Exercise
  • Candidate Keys and Super Keys

First Normal Form

  • Restructuring Multi-valued and Multi-type fields
  • Second Normal Form
  • Third Normal Form
  • Boyce Codd Normal Form

Section 1 an introduction to MySQL

  • Chapter 1     An introduction to relational databases and SQL
  • Chapter 2     How to use MySQL Workbench and other development tools

Section 2 The essential SQL skills

  • Chapter 3     How to retrieve data from a single table
  • Chapter 4     How to retrieve data from two or more tables
  • Chapter 5     How to code summary queries
  • Chapter 6     How to code subqueries
  • Chapter 7     How to insert, update, and delete data
  • Chapter 8     How to work with data types
  • Chapter 9     How to use functions

Section 3 Database design and implementation

  • Chapter 10     How to design a database
  • Chapter 11     How to create databases, tables, and indexes
  • Chapter 12     How to create views

Section 4 Stored program development

  • Chapter 13     Language skills for writing stored programs
  • Chapter 14     How to use transactions and locking
  • Chapter 15     How to create stored procedures and functions
  • Chapter 16     How to create triggers and events

Section 5 Database administration

  • Chapter 17     An introduction to database administration
  • Chapter 18     How to secure a database
  • Chapter 19     How to back up and restore a database

Introduction to PostgreSQL

  • A Brief History of PostgreSQL
  • Features
  • Internals Summary
  • Limits and Terminology
  • Installation and Configuration
  • Pre-requisites

Installation from Packages and Creating Database

  • Installation from Source Code
  • Client Installation
  • Starting and Stopping a Database Server
  • Environment Setup

The SQL Language

  • SQL Syntax
  • Data Definition
  • Data Manipulation
  • Queries
  • Data Types
  • JSON
  • Functions and Operators
  • Type Conversion
  • Indexes

Transactions and Concurrency

  • Transactions and Isolation
  • Multi-Version Concurrency Control
  • Client Interfaces
  • Command Line Interface – psql
  • Graphical Interface – pgadmin4
  • Server Programming
  • Extending SQL
  • Triggers
  • The Rule System
  • Procedural Languages
  • PL/pgSQL – SQL Procedural Language
  • Error Handling
  • Cursors
  • Foreign Data Wrappers
  • Extension in PostgreSQL
  • Adding FDW in a Database
  • postgres_fdw
  • file_fdw
  • Other FDWs
  • SQL Tuning
  • Logging in PostgreSQL
  • Query Plans
  • Optimizing Queries
  • Statistics
  • Planner Parameters
  • Parallel Query Scans
  • SQL Best Practices
  • Table Partitioning

DataBase Design

Fee: 40,000
Duration: 3 Months
Timing: 9AM-11AM, 11AM-1PM, 1PM-3PM, 3PM-5PM, 5PM-7PM, 7PM-9PM

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