oracle database লেবেলটি সহ পোস্টগুলি দেখানো হচ্ছে৷ সকল পোস্ট দেখান
oracle database লেবেলটি সহ পোস্টগুলি দেখানো হচ্ছে৷ সকল পোস্ট দেখান

💠 Database Management System Concept

Module 2: Entity–Relationship (ER) Model

ER Diagrams and EER Concepts –
Keys: 
SQL Exercise
Exercise : Schema and Cardinalities

Module 3: Relational Model & Relational Algebra

SQL Exercise
SQL Exercise

Module 4: Structured Query Language (SQL)

Integrity Constraints

  • NOT NULL
  • UNIQUE
  • CHECK
  • PRIMARY KEY
  • FOREIGN KEY
SQL Exercise 

Joins

  • INNER JOIN
  • LEFT OUTER JOIN
  • RIGHT OUTER JOIN
  • FULL OUTER JOIN
  • CROSS JOIN

Advanced SQL Concepts

  • Subqueries
  • Views

Aggregate Functions

  • COUNT
  • SUM
  • AVG
  • MIN
  • MAX

Data Grouping and Filtering

  • GROUP BY
  • HAVING

Sorting Results

  • ORDER BY

Module 5: Normalization and Database Design

  • Functional Dependencies
  • 1NF, 2NF, 3NF, BCNF, 4NF, 5NF
  • Decomposition – Lossless Join and Dependency Preservation
  • Denormalization – Concepts and Trade-offs

Module 6: Transaction Management & Concurrency Control

  • Concept and Properties of Transactions (ACID)
  • Transaction States and Schedules
  • Serializability – Conflict and View
  • Lock-based and Timestamp-based Concurrency Control
  • Deadlock Handling

Module 7: Recovery System

  • Failure Types – Transaction, System, Media
  • Recovery Techniques – Deferred and Immediate Updates
  • Checkpoint, Shadow Paging, Log-based Recovery

Module 8: File Organization & Indexing

  • Sequential, Indexed, and Hashed File Organization
  • Indexing – Primary, Secondary, Dense, Sparse
  • B-Tree, B+ Tree, and Hash-based Indexing

Module 9: Database Security

  • Database Security Issues – Authentication, Authorization
  • Access Control – DAC, MAC, RBAC
  • Encryption and Data Privacy

Module 10: Advanced Topics

  • Distributed Databases and Data Warehousing
  • Data Mining and OLAP Concepts
  • NoSQL and Cloud Databases
  • Object-relational Databases

DBMS Lab Syllabus

  • Using MySQL / Oracle / PostgreSQL
  • Creating Databases, Tables, and Schemas
  • Insert, Update, Delete, and Retrieve Data
  • Join, Subquery, Aggregate Function Implementation
  • Views, Index, Trigger, and Stored Procedure Creation
  • Transaction Control – COMMIT, ROLLBACK
  • Normalization and Mini Project Implementation

Recommended Books

  • Silberschatz, Korth & Sudarshan – Database System Concepts
  • Raghu Ramakrishnan & Gehrke – Database Management Systems
  • Elmasri & Navathe – Fundamentals of Database Systems
  • Groff & Weinberg – SQL: The Complete Reference
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Introduction to the `INSERT` Command

Certainly! Below is  a training module that focuses on the Oracle SQL `INSERT` command, specifically tailored for entering values into a `Customers` table. 

sql insert statement

Thank you for joining this training session today. We're going to dive into one of the fundamental concepts of SQL—specifically, the `INSERT` command. This command is essential for adding new records to our database tables, and today we will focus on how to use it effectively with a `Customers` table.

The `INSERT` command in Oracle SQL allows you to add new rows of data to a specified table. In our case, we’ll be inserting customer records into the `Customers` table. This table typically contains essential information about our customers, such as `Customer_ID`, `First_Name`, `Last_Name`, `Email`, and `Created_at`.

Basic Syntax

The basic syntax for the `INSERT` command is as follows:

```sql

INSERT INTO table_name (column1, column2, column3, ...)

VALUES (value1, value2, value3, ...);

```
Inserting Data into the Customer Table


Let’s consider our `Customer` table has the following structure:

- **Customer_ID**: Integer (Primary Key)

- **First_Name**: Varchar (Not Null)

- **Last_Name**: Varchar (Not Null)

- **Email**: Varchar (Unique)

- **Created_at**: Date (Default)

Now, to insert a new customer record, we would write an SQL command as follows:

```sql

INSERT INTO Customers (Customer_ID, First_Name, Last_Name, Email, created_at)

VALUES (1, 'Mr', 'Rahim', 'mr@tc.com', '01-jan-24');

```
Inserting Multiple Records

You may often need to input multiple records at once. Oracle SQL allows this by extending the `INSERT` statement like so:

```sql

INSERT INTO Customers(Customer_ID, First_Name, Last_Name, Email, created_at)

VALUES

(2, 'Md', 'Karim', 'mk@tc.com', '01-feb-24'),

(3, 'Mis', 'Lucky', 'ml@tc.com', '01-mar-23');

```
Important Considerations

1. **Primary Key Constraint**: Remember that if `Customer_ID` is a primary key, each value must be unique. Attempting to insert a duplicate value will result in an error.

2. **Data Types**: Ensure the values you provide match the data types defined in the table schema. For example, an integer is expected for numeric fields.

3. **NULL Values**: If your table allows NULL values for certain columns, you can choose to omit them from your `INSERT` statement, like so:

```sql

INSERT INTO Customers (Customer_ID, First_Name, Last_Name)

VALUES (4, 'Mis', 'Berly');

```
4. **Using Default Values**: If any column has a default value defined, it will automatically be used if you do not specify a value for that column during the insert.


Conclusion

The `INSERT` command is a powerful tool for populating your database. By understanding how to use it effectively, you'll be able to maintain and manage your customer records efficiently.

Remember, practice is key! I encourage you to try inserting records into your `Customers` table and explore different scenarios like bulk inserts or handling errors.

If you have any questions or need further clarification on any point, please feel free to ask. Happy querying!

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