SQL Programming with Microsoft SQL Server

SQL Programming with Microsoft SQL Server, available at $19.99, has an average rating of 3.65, with 60 lectures, 1 quizzes, based on 22 reviews, and has 3114 subscribers.

You will learn about Get introduced to Microsoft SQL Server Learn SQL (Structured Query Language) from scratch Take a deep dive into SQL from basic syntax and clauses to the most advanced queries Learn stored procedures, functions, triggers, sub-queries, loops, dynamic queries, etc. Perform Exception Handling with Try Catch blocks Understand what makes a database, tables, and views. Learn about database constraints, keys, indexes. Deep dive into database management such as Creating a new database, Backup & Recovery of db. This course is ideal for individuals who are Database Developers or Database Administrators (DBAs) or Newbies and beginners aspiring for a career in data engineering, database programming, or data analysis or Data Analysts or Data Engineers & Database Engineers or Data Scientists & Machine Learning Engineers or Reporting Analysts or Application Developers or Data Architects or Software Engineers & Developers or Business Intelligence Specialists or Cloud Engineers or SQL Application Support Analysts or Quantitative Engineers or SQL Analysts or Data Transformation Analysts or Data Consultants It is particularly useful for Database Developers or Database Administrators (DBAs) or Newbies and beginners aspiring for a career in data engineering, database programming, or data analysis or Data Analysts or Data Engineers & Database Engineers or Data Scientists & Machine Learning Engineers or Reporting Analysts or Application Developers or Data Architects or Software Engineers & Developers or Business Intelligence Specialists or Cloud Engineers or SQL Application Support Analysts or Quantitative Engineers or SQL Analysts or Data Transformation Analysts or Data Consultants.

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Summary

Title: SQL Programming with Microsoft SQL Server

Price: $19.99

Average Rating: 3.65

Number of Lectures: 60

Number of Quizzes: 1

Number of Published Lectures: 60

Number of Published Quizzes: 1

Number of Curriculum Items: 61

Number of Published Curriculum Objects: 61

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Get introduced to Microsoft SQL Server

Learn SQL (Structured Query Language) from scratch

Take a deep dive into SQL from basic syntax and clauses to the most advanced queries

Learn stored procedures, functions, triggers, sub-queries, loops, dynamic queries, etc.

Perform Exception Handling with Try Catch blocks

Understand what makes a database, tables, and views.

Learn about database constraints, keys, indexes.

Deep dive into database management such as Creating a new database, Backup & Recovery of db.

Who Should Attend

Database Developers

Database Administrators (DBAs)

Newbies and beginners aspiring for a career in data engineering, database programming, or data analysis

Data Analysts

Data Engineers & Database Engineers

Data Scientists & Machine Learning Engineers

Reporting Analysts

Application Developers

Data Architects

Software Engineers & Developers

Business Intelligence Specialists

Cloud Engineers

SQL Application Support Analysts

Quantitative Engineers

SQL Analysts

Data Transformation Analysts

Data Consultants

Target Audiences

Database Developers

Database Administrators (DBAs)

Newbies and beginners aspiring for a career in data engineering, database programming, or data analysis

Data Analysts

Data Engineers & Database Engineers

Data Scientists & Machine Learning Engineers

Reporting Analysts

Application Developers

Data Architects

Software Engineers & Developers

Business Intelligence Specialists

Cloud Engineers

SQL Application Support Analysts

Quantitative Engineers

SQL Analysts

Data Transformation Analysts

Data Consultants

A warm welcome to the SQL Programming with Microsoft SQL Servercourse by Uplatz.

SQL, or Structured Query Language, is a domain-specific programming language designed for managing and manipulating relational databases. It serves as a standard interface for interacting with relational database management systems (RDBMS), allowing users to define, query, update, and manage data within these databases.

Key components of SQL include:

1. Data Query Language (DQL): Used for querying the database to retrieve specific information. The primary DQL command is SELECT.

2. Data Definition Language (DDL): Concerned with the structure of the database, including creating, altering, and deleting tables and schemas. Commands include CREATE, ALTER, and DROP.

3. Data Manipulation Language (DML): Involves manipulating data within the database, including inserting, updating, and deleting records. Commands include INSERT, UPDATE, and DELETE.

4. Data Control Language (DCL): Manages access to the data stored in the database. Commands include GRANT and REVOKE.

Key benefits of learning SQL are:

1. Universal Language: SQL is widely used and recognized across different database systems. Once you learn SQL, you can apply your skills to various relational databases like MySQL, PostgreSQL, Oracle, and Microsoft SQL Server.

2. Database Management: SQL allows you to efficiently manage and organize vast amounts of data. You can create, modify, and maintain database structures, ensuring data integrity and security.

3. Data Retrieval and Analysis: SQL is powerful for extracting specific information from databases using queries. This is crucial for businesses to make informed decisions based on their data.

4. Data Modification: SQL enables you to add, update, or delete records in a database, providing the capability to keep data up-to-date and accurate.

5. Data Filtering and Sorting: SQL allows you to filter and sort data based on specific criteria, making it easier to work with and analyze large datasets.

6. Business Intelligence (BI): SQL skills are essential for anyone working in business intelligence or data analysis. It helps in extracting meaningful insights from complex datasets.

7. Web Development: Many web applications interact with databases to store and retrieve data. SQL is a fundamental skill for web developers who work with databases.

8. Career Opportunities: Proficiency in SQL is highly valued in the job market. Many roles, such as database administrators, data analysts, and business intelligence professionals, require a strong understanding of SQL.

Learning SQL provides a foundation for effective data management, retrieval, and analysis, making it a valuable skill for anyone working with databases or pursuing a career in data-related fields.

Microsoft SQL Server is a relational database management system (RDBMS) developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data. SQL Server is a powerful and versatile tool that can be used to manage a wide variety of data types, including text, numbers, dates, and images. It is also highly scalable, meaning that it can be used to manage data from small businesses to large enterprises.

Features of SQL Server:

Data storage and retrieval: SQL Server can store and retrieve data from various sources, including tables, views, and stored procedures.

Data security: SQL Server provides a variety of security features to protect your data, such as user authentication, encryption, and access control.

Data integrity: SQL Server ensures the accuracy and consistency of your data by enforcing rules and constraints.

Data performance: SQL Server is designed to provide high performance for data access and processing.

Data scalability: SQL Server can be scaled to meet the growing needs of your business by adding more servers or storage capacity.

Use cases of SQL Server:

Financial applications: SQL Server is used to manage financial data, such as accounts, transactions, and reports.

Customer relationship management (CRM) applications: SQL Server is used to store and manage customer data, such as contact information, purchase history, and support tickets.

E-commerce applications: SQL Server is used to manage product data, order information, and customer profiles.

Web applications: SQL Server is used to store and manage data for web applications.

IoT applications: SQL Server is used to collect, store, and analyze data from IoT devices.

SQL Server Editions:

SQL Server is available in a variety of editions to meet the needs of different businesses. The most popular editions include:

SQL Server Express: A free edition for small businesses and developers.

SQL Server Standard: An affordable edition for mid-sized businesses.

SQL Server Enterprise: A powerful edition for large enterprises.

SQL Programming with MS SQL Server – Course Curriculum

1. Introduction to Microsoft SQL Server

2. Select and Where

3. SQL Sub Languages – Order By Clauses

4. Any – All – Select Into – Insert Into – Case

5. Delete – Top – Aggregate Functions – Wild Cards

6. Insert – Update – Is Null Commands

7. In – Between – Table Alias

8. SQL Comments – SQL Operators

9. Joins

10. Union All – Union – Group By – Having – Exists – Not Exists

11. Null Functions – Transact SQL

12. Examples – If – Conditional Statements

13. Goto Statement – Looping Construct

14. Sub Programs – Stored Procedures

15. Stored Procedure Examples

16. Modifying and Dropping a Stored Procedure

17. Dynamic Queries – Procedure Returning Values – Functions

18. Break – Continue – Exception Handling

19. Structured Exception Handling

20. Multiple and Nested Try Catch Blocks

21. Using Anonymous Block – Table Valued Functions

22. Backup DB – Differential Example – DDL Statements

23. User Defined DB – Creating DB with GUI – Query – Commands

24. Database Constraints and Domain Integrity Constraints

25. Primary Key and Composite Key

26. Creating 1-to-1 Relationship – Indexes

27. Views and Types of Views

28. Auto Increment – SQL Date Operations

29. Hosting

Course Curriculum

Chapter 1: Introduction to Microsoft SQL Server

Lecture 1: Part 1 – Introduction to Microsoft SQL Server

Lecture 2: Part 2 – Introduction to Microsoft SQL Server

Lecture 3: Part 3 – Introduction to Microsoft SQL Server

Chapter 2: Select and Where

Lecture 1: Part 1 – Select and Where

Lecture 2: Part 2 – Select and Where

Lecture 3: Part 3 – Select and Where

Chapter 3: SQL Sub Languages – Order By Clauses

Lecture 1: Part 1 – SQL Sub Languages – Order By Clauses

Lecture 2: Part 2 – SQL Sub Languages – Order By Clauses

Chapter 4: Any – All – Select Into – Insert Into – Case

Lecture 1: Part 1 – Any – All – Select Into – Insert Into – Case

Lecture 2: Part 2 – Any – All – Select Into – Insert Into – Case

Chapter 5: Delete – Top – Aggregate Functions – Wild Cards

Lecture 1: Part 1 – Delete – Top – Aggregate Functions – Wild Cards

Lecture 2: Part 2 – Delete – Top – Aggregate Functions – Wild Cards

Chapter 6: Insert – Update – Is Null Commands

Lecture 1: Part 1 – Insert – Update – Is Null Commands

Lecture 2: Part 2 – Insert – Update – Is Null Commands

Lecture 3: Part 3 – Insert – Update – Is Null Commands

Chapter 7: In – Between – Table Alias

Lecture 1: Part 1 – In – Between – Table Alias

Lecture 2: Part 2 – In – Between – Table Alias

Chapter 8: SQL Comments – SQL Operators

Lecture 1: Part 1 – SQL Comments – SQL Operators

Lecture 2: Part 2 – SQL Comments – SQL Operators

Chapter 9: Joins

Lecture 1: Part 1 – Joins

Lecture 2: Part 2 – Joins

Chapter 10: Union All – Union – Group By – Having – Exists – Not Exists

Lecture 1: Part 1 – Union All – Union – Group By – Having – Exists – Not Exists

Lecture 2: Part 2 – Union All – Union – Group By – Having – Exists – Not Exists

Chapter 11: Null Functions – Transact SQL

Lecture 1: Part 1 – Null Functions – Transact SQL

Lecture 2: Part 2 – Null Functions – Transact SQL

Chapter 12: Examples – If – Conditional Statements

Lecture 1: Part 1 – Examples – If – Conditional Statements

Lecture 2: Part 2 – Examples – If – Conditional Statements

Chapter 13: Goto Statement – Looping Construct

Lecture 1: Part 1 – Goto Statement – Looping Construct

Lecture 2: Part 2 – Goto Statement – Looping Construct

Chapter 14: Sub Programs – Stored Procedures

Lecture 1: Part 1 – Sub Programs – Stored Procedures

Lecture 2: Part 2 – Sub Programs – Stored Procedures

Chapter 15: Stored Procedure Examples

Lecture 1: Part 1 – Stored Procedure Examples

Lecture 2: Part 2 – Stored Procedure Examples

Chapter 16: Modifying and Dropping a Stored Procedure

Lecture 1: Part 1 – Modifying and Dropping a Stored Procedure

Lecture 2: Part 2 – Modifying and Dropping a Stored Procedure

Chapter 17: Dynamic Queries – Procedure Returning Values – Functions

Lecture 1: Part 1 – Dynamic Queries – Procedure Returning Values – Functions

Lecture 2: Part 2 – Dynamic Queries – Procedure Returning Values – Functions

Chapter 18: Break – Continue – Exception Handling

Lecture 1: Part 1 – Break – Continue – Exception Handling

Lecture 2: Part 2 – Break – Continue – Exception Handling

Chapter 19: Structured Exception Handling

Lecture 1: Part 1 – Structured Exception Handling

Lecture 2: Part 2 – Structured Exception Handling

Chapter 20: Multiple and Nested Try Catch Blocks

Lecture 1: Part 1 – Multiple and Nested Try Catch Blocks

Lecture 2: Part 2 – Multiple and Nested Try Catch Blocks

Chapter 21: Using Anonymous Block – Table Valued Functions

Lecture 1: Part 1 – Using Anonymous Block – Table Valued Functions

Lecture 2: Part 2 – Using Anonymous Block – Table Valued Functions

Chapter 22: Backup DB – Differential Example – DDL Statements

Lecture 1: Part 1 – Backup DB – Differential Example – DDL Statements

Lecture 2: Part 2 – Backup DB – Differential Example – DDL Statements

Chapter 23: User Defined DB – Creating DB with GUI – Query – Commands

Lecture 1: Part 1 – User Defined DB – Creating DB with GUI – Query – Commands

Lecture 2: Part 2 – User Defined DB – Creating DB with GUI – Query – Commands

Chapter 24: Database Constraints and Domain Integrity Constraints

Lecture 1: Part 1 – Database Constraints and Domain Integrity Constraints

Lecture 2: Part 2 – Database Constraints and Domain Integrity Constraints

Chapter 25: Primary Key and Composite Key

Lecture 1: Part 1 – Primary Key and Composite Key

Lecture 2: Part 2 – Primary Key and Composite Key

Chapter 26: Creating 1-to-1 Relationship – Indexes

Lecture 1: Part 1 – Creating 1-to-1 Relationship – Indexes

Lecture 2: Part 2 – Creating 1-to-1 Relationship – Indexes

Chapter 27: Views and Types of Views

Lecture 1: Part 1 – Views and Types of Views

Lecture 2: Part 2 – Views and Types of Views

Chapter 28: Auto Increment – SQL Date Operations

Lecture 1: Part 1 – Auto Increment – SQL Date Operations

Lecture 2: Part 2 – Auto Increment – SQL Date Operations

Chapter 29: Hosting

Lecture 1: Hosting

Chapter 30: End of Course Quiz

Instructors

Uplatz Training
Fastest growing global Technology & Cloud Training Provider

Rating Distribution

1 stars: 2 votes

2 stars: 0 votes

3 stars: 6 votes

4 stars: 8 votes

5 stars: 6 votes

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