Sql Programming With Microsoft Sql Server

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