فلش‌کارت‌های آموزشی SQL Server The Advanced Toolkit for SQL Server Evolution

🎓 دوره آموزشی جامع

📚 اطلاعات دوره

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

موضوع کلی: برنامه نویسی

موضوع میانی: Microsoft SQL Server

📋 سرفصل‌های دوره

• 1. Introduction to Advanced SQL Server Management
• 2. Deep Dive into Advanced T-SQL Constructs
• 3. Optimizing Complex Queries with Window Functions
• 4. Mastering Common Table Expressions (CTEs)
• 5. Recursive CTEs for Hierarchical and Graph Data
• 6. Dynamic SQL: Secure Implementation and Best Practices
• 7. Advanced Error Handling with TRY...CATCH and THROW
• 8. Transaction Management and Isolation Levels
• 9. Understanding SQL Server Execution Context and Scopes
• 10. Leveraging T-SQL Enhancements in Modern SQL Server Versions
• 11. Advanced Indexing Strategies and Planning
• 12. Designing Effective Non-Clustered Indexes for Performance
• 13. Covering Indexes and Included Columns for Query Optimization
• 14. Implementing Filtered Indexes for Specific Data Subsets
• 15. Deep Dive into Clustered and Non-Clustered Columnstore Indexes
• 16. Optimizing OLTP Workloads with Memory-Optimized Tables (In-Memory OLTP)
• 17. Memory-Optimized Indexing Techniques and Considerations
• 18. Table and Index Partitioning Strategies for Scalability
• 19. Implementing Data Compression (Row, Page, Columnstore Archive)
• 20. Choosing Between Heaps and Clustered Indexes Wisely
• 21. Advanced Index Maintenance: Rebuild, Reorganize, and Adaptive Strategies
• 22. Understanding and Managing SQL Server Statistics
• 23. Analyzing and Resolving Index Fragmentation Issues
• 24. Best Practices for Primary Key and Foreign Key Constraints
• 25. Database Filegroup Management and I/O Performance Tuning
• 26. Mastering SQL Server Execution Plan Analysis
• 27. Deciphering Key Query Operators and Their Costs
• 28. Utilizing Dynamic Management Views (DMVs) for Performance Bottlenecks
• 29. Implementing and Interpreting Missing Index Recommendations
• 30. Deep Dive into SQL Server Statistics and Cardinality Estimation
• 31. Introduction and Configuration of Query Store
• 32. Query Store: Identifying and Analyzing Regressed Queries
• 33. Query Store: Forcing Execution Plans for Stability
• 34. Analyzing Wait Statistics for System-Wide Performance Issues
• 35. Advanced Performance Monitoring with Extended Events
• 36. Designing and Customizing Extended Event Sessions
• 37. Troubleshooting CPU-Related Performance Problems
• 38. Diagnosing and Resolving I/O Bottlenecks in SQL Server
• 39. Optimizing Memory Usage and Buffer Pool Management
• 40. Understanding and Resolving Blocking and Deadlock Situations
• 41. Strategies for Minimizing Concurrency Issues in High-Volume Systems
• 42. Parameter Sniffing: Diagnosis and Mitigation Techniques
• 43. Implementing Resource Governor for Workload Management
• 44. Database Scoped Configurations for Performance Control
• 45. Adaptive Query Processing Features for Intelligent Performance
• 46. Introduction to High Availability (HA) and Disaster Recovery (DR) Principles
• 47. Always On Availability Groups: Architecture and Components
• 48. Step-by-Step Configuration and Setup of Availability Groups
• 49. Availability Group Listener, Read-Only Routing, and Secondary Replicas
• 50. Availability Group Failover Strategies and Testing Methodologies
• 51. Monitoring and Troubleshooting Always On Availability Groups
• 52. Failover Cluster Instances: Design, Setup, and Management
• 53. Implementing Log Shipping for DR and Reporting
• 54. Advanced Backup and Restore Techniques for Data Protection
• 55. Point-in-Time Recovery and Granular Restores
• 56. Transactional Replication: Design, Implementation, and Monitoring
• 57. Merge Replication for Distributed and Offline Scenarios
• 58. Snapshot Replication for Initial Data Synchronization and Small Datasets
• 59. Database Mirroring: Legacy HA and Migration Considerations
• 60. Developing a Comprehensive Disaster Recovery Plan and Runbook
• 61. Advanced Authentication and Authorization Models
• 62. Customizing Server Roles, Database Roles, and Schemas
• 63. Implementing Transparent Data Encryption (TDE) for Data at Rest
• 64. Always Encrypted: Protecting Sensitive Data in Use
• 65. Dynamic Data Masking for Regulatory Compliance
• 66. Row-Level Security (RLS) for Granular Access Control
• 67. Configuring and Analyzing SQL Server Auditing
• 68. Data Classification and Sensitivity Labels
• 69. Best Practices for Securing SQL Server Service Accounts
• 70. Vulnerability Assessment and Threat Detection with Microsoft Defender for SQL
• 71. SQL Injection Prevention and Mitigation Strategies
• 72. Securing Data in Transit with SSL/TLS Encryption
• 73. Managing Permissions with the Principle of Least Privilege
• 74. SQL Server Features for Compliance with Industry Standards (e.g., GDPR, HIPAA)
• 75. Developing and Enforcing Database Security Policies
• 76. CLR Integration for Extending SQL Server Functionality
• 77. SQL Server Service Broker: Architecture and Messaging Patterns
• 78. Implementing Service Broker for Asynchronous Operations and Queue Management
• 79. Integrating External Scripts with R and Python for In-Database Analytics
• 80. Customizing User-Defined Data Types and Table Types
• 81. Advanced Full-Text Search Configuration and Optimization
• 82. Best Practices for Stored Procedures, Functions, and Views
• 83. Optimizing Triggers, Avoiding Pitfalls, and Managing Side Effects
• 84. Change Data Capture (CDC) for Data Auditing and ETL
• 85. Change Tracking for Lightweight Data Change Management
• 86. Advanced SQL Server Integration Services (SSIS) Control Flow Patterns
• 87. Optimizing SSIS Data Flow Transformations for Performance
• 88. SSIS Deployment, Configuration Management, and Monitoring
• 89. Data Virtualization with PolyBase for Heterogeneous Data Sources
• 90. Integrating SQL Server with Power BI and SQL Server Reporting Services (SSRS)
• 91. Azure SQL Database: Deployment Models, Features, and Elastic Pools
• 92. Migrating On-Premises SQL Server to Azure SQL Managed Instance
• 93. Designing Hybrid Cloud Architectures with SQL Server
• 94. Deploying SQL Server on Linux, Docker Containers, and Kubernetes
• 95. DevOps for SQL Server: Implementing CI/CD Pipelines
• 96. Database Source Control and Versioning with SSDT and Git
• 97. Machine Learning Services for In-Database Predictive Analytics
• 98. SQL Server Big Data Clusters: Overview and Data Lake Integration
• 99. Autonomous Database Features: Automatic Tuning and Intelligent Performance
• 100. Future Trends, SQL Server Evolution, and Modern Data Platform Integration