Sql Programming With Microsoft Sql Server

What you'll 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.
Requirements
Enthusiasm and determination to make your mark on the world!
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:Data Query Language (DQL): Used for querying the database to retrieve specific information. The primary DQL command is SELECT.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.Data Manipulation Language (DML): Involves manipulating data within the database, including inserting, updating, and deleting records. Commands include INSERT, UPDATE, and DELETE.Data Control Language (DCL): Manages access to the data stored in the database. Commands include GRANT and REVOKE.Key benefits of learning SQL are: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.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.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.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.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.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.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.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 CurriculumIntroduction to Microsoft SQL ServerSelect and WhereSQL Sub Languages - Order By ClausesAny - All - Select Into - Insert Into - CaseDelete - Top - Aggregate Functions - Wild CardsInsert - Update - Is Null CommandsIn - Between - Table AliasSQL Comments - SQL OperatorsJoinsUnion All - Union - Group By - Having - Exists - Not ExistsNull Functions - Transact SQLExamples - If - Conditional StatementsGoto Statement - Looping ConstructSub Programs - Stored ProceduresStored Procedure ExamplesModifying and Dropping a Stored ProcedureDynamic Queries - Procedure Returning Values - FunctionsBreak - Continue - Exception HandlingStructured Exception HandlingMultiple and Nested Try Catch BlocksUsing Anonymous Block - Table Valued FunctionsBackup DB - Differential Example - DDL StatementsUser Defined DB - Creating DB with GUI - Query - CommandsDatabase Constraints and Domain Integrity ConstraintsPrimary Key and Composite KeyCreating 1-to-1 Relationship - IndexesViews and Types of ViewsAuto Increment - SQL Date OperationsHosting
Overview
Section 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
Section 2: Select and Where
Lecture 4 Part 1 - Select and Where
Lecture 5 Part 2 - Select and Where
Lecture 6 Part 3 - Select and Where
Section 3: SQL Sub Languages - Order By Clauses
Lecture 7 Part 1 - SQL Sub Languages - Order By Clauses
Lecture 8 Part 2 - SQL Sub Languages - Order By Clauses
Section 4: Any - All - Select Into - Insert Into - Case
Lecture 9 Part 1 - Any - All - Select Into - Insert Into - Case
Lecture 10 Part 2 - Any - All - Select Into - Insert Into - Case
Section 5: Delete - Top - Aggregate Functions - Wild Cards
Lecture 11 Part 1 - Delete - Top - Aggregate Functions - Wild Cards
Lecture 12 Part 2 - Delete - Top - Aggregate Functions - Wild Cards
Section 6: Insert - Update - Is Null Commands
Lecture 13 Part 1 - Insert - Update - Is Null Commands
Lecture 14 Part 2 - Insert - Update - Is Null Commands
Lecture 15 Part 3 - Insert - Update - Is Null Commands
Section 7: In - Between - Table Alias
Lecture 16 Part 1 - In - Between - Table Alias
Lecture 17 Part 2 - In - Between - Table Alias
Section 8: SQL Comments - SQL Operators
Lecture 18 Part 1 - SQL Comments - SQL Operators
Lecture 19 Part 2 - SQL Comments - SQL Operators
Section 9: Joins
Lecture 20 Part 1 - Joins
Lecture 21 Part 2 - Joins
Section 10: Union All - Union - Group By - Having - Exists - Not Exists
Lecture 22 Part 1 - Union All - Union - Group By - Having - Exists - Not Exists
Lecture 23 Part 2 - Union All - Union - Group By - Having - Exists - Not Exists
Section 11: Null Functions - Transact SQL
Lecture 24 Part 1 - Null Functions - Transact SQL
Lecture 25 Part 2 - Null Functions - Transact SQL
Section 12: Examples - If - Conditional Statements
Lecture 26 Part 1 - Examples - If - Conditional Statements
Lecture 27 Part 2 - Examples - If - Conditional Statements
Section 13: Goto Statement - Looping Construct
Lecture 28 Part 1 - Goto Statement - Looping Construct
Lecture 29 Part 2 - Goto Statement - Looping Construct
Section 14: Sub Programs - Stored Procedures
Lecture 30 Part 1 - Sub Programs - Stored Procedures
Lecture 31 Part 2 - Sub Programs - Stored Procedures
Section 15: Stored Procedure Examples
Lecture 32 Part 1 - Stored Procedure Examples
Lecture 33 Part 2 - Stored Procedure Examples
Section 16: Modifying and Dropping a Stored Procedure
Lecture 34 Part 1 - Modifying and Dropping a Stored Procedure
Lecture 35 Part 2 - Modifying and Dropping a Stored Procedure
Section 17: Dynamic Queries - Procedure Returning Values - Functions
Lecture 36 Part 1 - Dynamic Queries - Procedure Returning Values - Functions
Lecture 37 Part 2 - Dynamic Queries - Procedure Returning Values - Functions
Section 18: Break - Continue - Exception Handling
Lecture 38 Part 1 - Break - Continue - Exception Handling
Lecture 39 Part 2 - Break - Continue - Exception Handling
Section 19: Structured Exception Handling
Lecture 40 Part 1 - Structured Exception Handling
Lecture 41 Part 2 - Structured Exception Handling
Section 20: Multiple and Nested Try Catch Blocks
Lecture 42 Part 1 - Multiple and Nested Try Catch Blocks
Lecture 43 Part 2 - Multiple and Nested Try Catch Blocks
Section 21: Using Anonymous Block - Table Valued Functions
Lecture 44 Part 1 - Using Anonymous Block - Table Valued Functions
Lecture 45 Part 2 - Using Anonymous Block - Table Valued Functions
Section 22: Backup DB - Differential Example - DDL Statements
Lecture 46 Part 1 - Backup DB - Differential Example - DDL Statements
Lecture 47 Part 2 - Backup DB - Differential Example - DDL Statements
Section 23: User Defined DB - Creating DB with GUI - Query - Commands
Lecture 48 Part 1 - User Defined DB - Creating DB with GUI - Query - Commands
Lecture 49 Part 2 - User Defined DB - Creating DB with GUI - Query - Commands
Section 24: Database Constraints and Domain Integrity Constraints
Lecture 50 Part 1 - Database Constraints and Domain Integrity Constraints
Lecture 51 Part 2 - Database Constraints and Domain Integrity Constraints
Section 25: Primary Key and Composite Key
Lecture 52 Part 1 - Primary Key and Composite Key
Lecture 53 Part 2 - Primary Key and Composite Key
Section 26: Creating 1-to-1 Relationship - Indexes
Lecture 54 Part 1 - Creating 1-to-1 Relationship - Indexes
Lecture 55 Part 2 - Creating 1-to-1 Relationship - Indexes
Section 27: Views and Types of Views
Lecture 56 Part 1 - Views and Types of Views
Lecture 57 Part 2 - Views and Types of Views
Section 28: Auto Increment - SQL Date Operations
Lecture 58 Part 1 - Auto Increment - SQL Date Operations
Lecture 59 Part 2 - Auto Increment - SQL Date Operations
Section 29: Hosting
Lecture 60 Hosting
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
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