Mastering SQL Server From Beginner To Expert

What you'll learn
Master SQL Fundamentals DDL vs DML
Learn how to write efficient SQL queries to retrieve, manipulate, and manage data using SELECT, INSERT, UPDATE, and DELETE statements
Advanced SQL Techniques Explore complex queries, including Joins, Subqueries,
Window Functions to handle sophisticated data retrieval tasks
Manage Transactions and Ensure Data Integrity
Enhance Database Performance: Discover performance tuning techniques, including query optimization
Secure SQL Server Databases: Master SQL Server's security features by managing user roles, permissions
Backup and Restore Databases
Requirements
No Prior Database Experience Needed: This course starts from the basics, so no previous knowledge of SQL or database management is required
Description
Unlock the full potential of SQL Server 2022 in this comprehensiveThis course will guide you through everything you need to know about SQL Server, from installation to complex queries . Whether you're a beginner or have some experience with databases, this course covers all the key concepts to help you become proficient in managing and querying data using Microsoft SQL ServerWhat You'll Learn:Introduction to SQL Server: Set up and install SQL Server, explore its tools, and create your first database.SQL Basics to Advanced: Start with fundamental SQL concepts and progress to advanced querying techniques.Advanced SQL QueryingMaster complex queries, subqueries, joins, and functions to unlock powerful data analysis capabilities.Learn about common table expressions (CTEs), window functions, and how to handle large datasets efficiently.In-Memory Tables and Performance OptimizationExplore the in-memory tables feature, a key tool for accelerating query performance.Discover indexing strategies and performance tuning techniques to ensure your database is optimized.Advanced SQL Techniques: Dive into complex queries, subqueries, Common Table Expressions (CTEs), and window functions.Database Design: Learn how to design scalable databases, implement relationships, and use primary/foreign keys for data integrity.Transactions and Error Handling: Ensure data reliability with transactions, rollback mechanisms, and error-handling strategiesHands-on Projects: Apply your learning with real-world case studies, interactive projects, and downloadable databases. manage data.Use advanced SQL techniques such as stored procedures, Triggers Enroll Today!
Overview
Section 1: Getting Started with SQL Server
Lecture 1 Introduction to SQL Server
Lecture 2 Introduction to SQL Syntax: Basic structure and syntax in SQL.
Lecture 3 Writing Simple Queries with SELECT: Retrieving data from single tables.
Lecture 4 Implement SSMS | Retrieving data from single tables.
Lecture 5 Limiting Results with TOP and OFFSET: Selecting specific subsets of data.
Section 2: Working with Data Types and Functions
Lecture 6 Understanding SQL Data Types: Text, numeric, date, and custom types.
Lecture 7 Basic SQL Functions: Using functions like COUNT, SUM, AVG, MIN, and MAX.
Lecture 8 String Functions: Manipulating text with LEFT, RIGHT, SUBSTRING, and LEN.
Lecture 9 Conversion Functions: Converting data types with CAST and CONVERT.
Section 3: Joining and Combining Data
Lecture 10 Introduction to Joins: INNER, LEFT, RIGHT, and FULL OUTER joins.
Lecture 11 Self-Joins and Cross Joins: Joining a table to itself and understanding Cartesia
Lecture 12 Combining Queries with UNION and UNION ALL: Merging datasets from multiple queri
Lecture 13 Using APPLY (CROSS and OUTER APPLY): Working with table-valued functions.
Section 4: Query SQL Server
Lecture 14 SQL Server Filter LIKE | NOT IN
Lecture 15 SQL Server Sorting Order by
Section 5: Advanced Query Techniques
Lecture 16 Subqueries and Nested Queries: Writing and optimizing subqueries.
Lecture 17 Common Table Expressions (CTEs): Creating temporary query results.
Lecture 18 Window Functions: ROW_NUMBER, RANK, and PARTITION BY for analytical queries.
Lecture 19 Difference Between Rank and Dense_Rank
Lecture 20 Case Statements: Conditional logic within queries.
Lecture 21 Pivoting and Unpivoting dаta: Reshaping data for reports and analysis.
Section 6: Data Aggregation and Grouping
Lecture 22 GROUP BY Basics: Grouping data and Calculating Aggregates
Lecture 23 Using HAVING with GROUP BY: Filtering groups with aggregate conditions.
Lecture 24 Rollup and Cube Creating subtotals and hierarchical aggregations
Section 7: Data Manipulation and Development
Lecture 25 Inserting Data into Tables
Lecture 26 Updating and Deleting Data
Lecture 27 MERGE Statements
Lecture 28 Transactions and Atomicity
Section 8: Stored Procedures and User-Defined Functions (UDFs)
Lecture 29 Introduction to Stored Procedure
Section 9: Triggers in SQL Server
Lecture 30 Introduction to Triggers
Lecture 31 Creating Insert Trigger
Lecture 32 Creating Update Triggers
Lecture 33 Create Delete Triggers
Lecture 34 Instead of Trigger vs After Trigger
Database Administrators (DBAs),IT Professionals,Beginners If you're new to databases and SQL
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