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 16: SQL Data Manipulation Language

Lecture video ch 16

Chapter 16 SQL Data Manipulation Language

IDENTITYINSERT option

SELECT Statement

SELECT statement with WHERE criteria

Using wildcards in the LIKE clause

SELECT statement with ORDER BY clause

SELECT statement with GROUP BY clause

Using COUNT with GROUP BY

Using AVG and SUM with GROUP BY

Restricting rows with HAVING

INSERT statement

Inserting specific values into an IDENTITY column

Inserting rows with a SELECT statement

UPDATE statement

Including subqueries in an UPDATE statement

DELETE statement

Built-in Functions

Aggregate functions

Conversion function

Date function

Mathematical functions

Joining Tables

Inner join

Left outer join

Right outer join

Full outer join

Cross join

Appendix A University Registration Data Model Example

Design Process

Entity

Constraints

Assumptions

Relationships (includes cardinality)

Appendix B Sample ERD Exercises

Exercise 1

Manufacturer

ERD Answer

Exercise 2

Car Dealership

Appendix C SQL Lab with Solution

Part 1 – DDL

Part 2 – Create the Following SQL Statements

Part 3 – Insert, Update, Delete, Indexes

Course Quizzes

Welcome to the "Introduction to SQL Data Manipulation and Data Modeling" course. In today's data-driven world, the ability to effectively manage, query, and model data is a highly sought-after skill.

Welcome to the "Introduction to SQL Data Manipulation and Data Modeling" course! In today's data-driven world, the ability to effectively manage, query, and model data is a highly sought-after skill. This comprehensive course is designed to take you from the fundamentals of SQL Data Manipulation Language (DML) to the practical application of Entity-Relationship Diagrams (ERDs) and data modeling. Whether you are an aspiring data analyst, a software developer, or a database administrator, this course provides the essential building blocks you need to interact with relational databases confidently.

Throughout this course, you will dive deep into core SQL commands, including SELECT, INSERT, UPDATE, and DELETE. You will learn how to filter data using WHERE and HAVING clauses, sort results with ORDER BY, and aggregate data using GROUP BY along with built-in functions like COUNT, AVG, and SUM. Furthermore, you will master the art of combining data from multiple tables using various JOIN operations, including Inner, Left, Right, Full, and Cross Joins.

Beyond writing queries, this course emphasizes the importance of database design. You will explore real-world data modeling examples, such as a University Registration system and a Car Dealership, learning how to define entities, constraints, and relationships. With hands-on SQL labs and comprehensive quizzes to test your knowledge, you will gain practical experience in both Data Definition Language (DDL) and DML. Enroll today and unlock the power of SQL to transform raw data into actionable insights!

chapter 16 Introduction to SQL Data Manipulation and Data Modeling

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            <p>Mastering the ability to interact with and manipulate data is a fundamental skill for any database professional or aspiring data analyst. This course provides a comprehensive exploration of the SQL Data Manipulation Language (DML), equipping learners with the practical knowledge required to effectively query, insert, update, and delete records within relational databases. Starting with the foundational SELECT statement, the curriculum systematically advances through essential filtering techniques using WHERE and LIKE clauses, sorting with ORDER BY, and aggregating data using GROUP BY and HAVING. Furthermore, learners will explore a variety of built-in mathematical, date, and conversion functions, alongside mastering complex table relationships through inner, outer, and cross joins.</p>

<p>Beyond writing queries, understanding the underlying structure of a database is critical for accurate data retrieval and system design. To bridge the gap between theory and real-world application, this course delves into the intricacies of data modeling using practical examples, such as a university registration system and a car dealership. Learners will analyze the complete design process, from defining entities and constraints to establishing relationships and cardinalities using Entity-Relationship Diagrams (ERDs). Finally, hands-on SQL labs and a series of targeted quizzes ensure that participants can confidently apply Data Definition Language (DDL) and DML concepts, solidifying their ability to design robust data models and execute complex SQL operations.</p>
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