SQL Programming with Microsoft SQL Server

Mastering SQL: Unleashing the power of Structured Query Language, Data Engineering, and Data Analysis with MS SQL Server

Description

A warm welcome to the SQL Programming with Microsoft SQL Server course 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

Who this course is for:

• 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