دوره SQL Server The Essential Toolkit for SQL Server Evolution همراه با فلش‌کارت آموزشی — ارائه روی فلش مموری

🎓 دوره آموزشی جامع

📚 اطلاعات دوره

عنوان دوره: دوره SQL Server The Essential Toolkit for SQL Server Evolution

موضوع کلی: برنامه نویسی

موضوع میانی: Microsoft SQL Server

📋 سرفصل‌های دوره

• 1. Introduction to SQL Server and Relational Databases
• 2. Understanding SQL Server Editions and Components
• 3. Installing SQL Server and SQL Server Management Studio (SSMS)
• 4. Navigating SSMS: Object Explorer and Query Editor
• 5. Relational Database Concepts: Tables, Rows, Columns
• 6. SQL Server Data Types: Choosing the Right Type
• 7. Creating and Managing Databases
• 8. Designing and Creating Tables
• 9. Primary Keys and Unique Constraints
• 10. Foreign Keys and Referential Integrity
• 11. Introduction to Transact-SQL (T-SQL)
• 12. The SELECT Statement: Retrieving Data
• 13. Filtering Data with the WHERE Clause
• 14. Sorting Results with ORDER BY
• 15. Limiting Result Sets (TOP, OFFSET-FETCH)
• 16. Understanding NULL Values
• 17. Basic Arithmetic and Column Aliases
• 18. String Manipulation Functions
• 19. Date and Time Functions
• 20. Numeric Functions
• 21. Conversion Functions: CAST and CONVERT
• 22. The CASE Expression for Conditional Logic
• 23. Aggregate Functions: COUNT, SUM, AVG, MIN, MAX
• 24. Grouping Data with GROUP BY
• 25. Filtering Grouped Data with HAVING
• 26. Joining Tables: INNER JOIN
• 27. Joining Tables: LEFT OUTER JOIN
• 28. Joining Tables: RIGHT OUTER JOIN
• 29. Joining Tables: FULL OUTER JOIN
• 30. Self-Joins and Cross Joins
• 31. Subqueries: Nested Queries
• 32. Common Table Expressions (CTEs)
• 33. Recursive CTEs
• 34. Set Operators: UNION, UNION ALL
• 35. Set Operators: INTERSECT and EXCEPT
• 36. Window Functions: ROW_NUMBER, RANK, DENSE_RANK, NTILE
• 37. Window Functions: LAG and LEAD
• 38. PIVOT and UNPIVOT Operators
• 39. Inserting Data: The INSERT Statement
• 40. Updating Data: The UPDATE Statement
• 41. Deleting Data: The DELETE Statement
• 42. The MERGE Statement: UPSERT Operations
• 43. Understanding Transactions: COMMIT, ROLLBACK, SAVEPOINT
• 44. Identity Columns and Sequence Objects
• 45. DEFAULT and CHECK Constraints
• 46. Indexes: Clustered vs. Non-Clustered
• 47. Creating and Managing Indexes
• 48. Index Maintenance: Rebuild and Reorganize
• 49. Views: Storing Complex Queries
• 50. Stored Procedures: Benefits and Basic Creation
• 51. Stored Procedures with Parameters
• 52. User-Defined Functions (UDFs): Scalar and Table-Valued
• 53. Triggers: Automating Actions on Data Events
• 54. SQL Server Architecture Overview
• 55. Database Files and Filegroups Management
• 56. Understanding Recovery Models
• 57. Full Database Backups
• 58. Differential Database Backups
• 59. Transaction Log Backups
• 60. Restoring Databases from Backups
• 61. Point-in-Time Recovery
• 62. SQL Server Agent: Automating Tasks with Jobs
• 63. Alerts, Operators, and Database Mail
• 64. SQL Server Security: Principals and Securables
• 65. Logins, Users, and Server Roles
• 66. Database Roles and Custom Roles
• 67. Granting, Denying, and Revoking Permissions
• 68. Schemas: Organizing Database Objects
• 69. Auditing SQL Server Activities
• 70. Introduction to Performance Tuning
• 71. Understanding Query Execution Plans
• 72. Interpreting Graphical Execution Plans
• 73. Identifying Performance Bottlenecks with Execution Plans
• 74. Statistics: Importance and Management
• 75. Using Dynamic Management Views (DMVs) for Monitoring
• 76. Extended Events for Advanced Monitoring
• 77. SQL Server Profiler and Trace (legacy considerations)
• 78. Analyzing and Optimizing Indexes
• 79. Troubleshooting Blocking and Deadlocks
• 80. Understanding Locking and Concurrency
• 81. Transaction Isolation Levels
• 82. Optimizing Queries with Hints
• 83. Data Compression Techniques
• 84. Table Partitioning for Large Tables
• 85. Columnstore Indexes for Analytical Workloads
• 86. Temporary Tables vs. Table Variables
• 87. Error Handling with TRY...CATCH
• 88. Cursors: Use Cases and Alternatives
• 89. Working with XML Data
• 90. Working with JSON Data
• 91. Spatial Data Types
• 92. In-Memory OLTP: Memory-Optimized Tables and Stored Procedures
• 93. Temporal Tables for Historical Data Tracking
• 94. AlwaysOn Availability Groups for High Availability
• 95. Failover Cluster Instances (FCI)
• 96. Log Shipping for Disaster Recovery
• 97. Replication: Transactional, Snapshot, Merge
• 98. Hybrid Cloud Scenarios: SQL Server on Azure VMs and Azure SQL Database
• 99. Advanced Security Features: Always Encrypted
• 100. Dynamic Data Masking