کتاب SQL Server The Data Science Toolkit for SQL Server Evolution با فرمت AZW3 برای کتابخوان کیندل و فرمت EPUB

🎓 دوره آموزشی جامع

📚 اطلاعات دوره

عنوان دوره: دوره SQL Server The Data Science Toolkit for SQL Server Evolution

موضوع کلی: برنامه نویسی

موضوع میانی: Microsoft SQL Server

📋 سرفصل‌های دوره

• 1. SQL Server The Data Science Toolkit for SQL Server Evolution:
• 2. Introduction to SQL Server and Data Science
• 3. Understanding the Role of SQL Server in Data Science
• 4. Installation and Configuration of SQL Server
• 5. SQL Server Management Studio (SSMS) Overview
• 6. Database Design and Modeling Fundamentals
• 7. Introduction to Relational Databases
• 8. Understanding Tables, Columns, and Data Types
• 9. Primary Keys, Foreign Keys, and Relationships
• 10. Normalization and Database Optimization
• 11. Introduction to SQL Queries and Syntax
• 12. SELECT Statement: Retrieving Data from Tables
• 13. WHERE Clause: Filtering Data
• 14. ORDER BY Clause: Sorting Results
• 15. JOIN Operations: Combining Data from Multiple Tables
• 16. GROUP BY and HAVING Clauses: Aggregation and Filtering Aggregated Data
• 17. Common SQL Functions: String, Date, and Numeric Functions
• 18. Subqueries: Nested Queries
• 19. Working with NULL Values
• 20. Transactions: Ensuring Data Integrity
• 21. Introduction to Stored Procedures
• 22. Creating and Managing Stored Procedures
• 23. Passing Parameters to Stored Procedures
• 24. User-Defined Functions (UDFs) in SQL Server
• 25. Creating and Using Scalar and Table-Valued UDFs
• 26. Introduction to Views
• 27. Creating and Using Views
• 28. Indexes: Improving Query Performance
• 29. Understanding Index Types (Clustered, Non-Clustered)
• 30. Managing and Optimizing Indexes
• 31. Data Types and Data Storage in SQL Server
• 32. Date and Time Data Types
• 33. String Data Types and Manipulation
• 34. Numeric Data Types and Precision
• 35. Introduction to SQL Server Security
• 36. User Authentication and Authorization
• 37. Roles and Permissions
• 38. Data Encryption and Protection
• 39. Introduction to SQL Server Integration Services (SSIS)
• 40. SSIS Packages: Creating and Executing
• 41. Data Transformation and Cleaning with SSIS
• 42. Working with Different Data Sources in SSIS
• 43. Introduction to SQL Server Reporting Services (SSRS)
• 44. Creating Reports with SSRS
• 45. Designing and Deploying Reports
• 46. Data Visualization with SSRS
• 47. Introduction to SQL Server Analysis Services (SSAS)
• 48. Creating and Managing Cubes in SSAS
• 49. Data Mining with SSAS
• 50. Data Warehousing Concepts
• 51. Building a Data Warehouse in SQL Server
• 52. Extract, Transform, and Load (ETL) Process
• 53. Performance Tuning and Optimization
• 54. Query Optimization Techniques
• 55. Using Execution Plans
• 56. Monitoring SQL Server Performance
• 57. Introduction to T-SQL Programming
• 58. Variables and Control Flow Statements (IF, ELSE, WHILE)
• 59. Error Handling and Debugging
• 60. Cursors: Introduction and Alternatives
• 61. Temporary Tables and Table Variables
• 62. Dynamic SQL
• 63. Introduction to Advanced T-SQL Concepts
• 64. Common Table Expressions (CTEs)
• 65. Window Functions
• 66. Pivoting and Unpivoting Data
• 67. XML Data in SQL Server
• 68. JSON Data in SQL Server
• 69. Full-Text Search
• 70. Spatial Data in SQL Server
• 71. Introduction to Machine Learning Services in SQL Server
• 72. Installing and Configuring Machine Learning Services
• 73. Using R and Python in SQL Server
• 74. Building Predictive Models with SQL Server
• 75. Deploying and Consuming Machine Learning Models
• 76. Data Science Libraries and Packages for SQL Server
• 77. Advanced Data Transformation Techniques
• 78. Data Cleansing and Preprocessing
• 79. Handling Missing Values
• 80. Feature Engineering
• 81. Data Aggregation and Summarization
• 82. Time Series Analysis in SQL Server
• 83. Advanced Query Optimization Techniques
• 84. Using Hints
• 85. Analyzing Query Statistics
• 86. Troubleshooting Performance Issues
• 87. SQL Server Agent: Automating Tasks
• 88. Scheduling Jobs and Tasks
• 89. Monitoring Job Execution
• 90. Backup and Restore Strategies
• 91. Database Backup and Recovery
• 92. Point-in-Time Recovery
• 93. High Availability and Disaster Recovery Options
• 94. Implementing AlwaysOn Availability Groups
• 95. Database Mirroring
• 96. Security Best Practices in SQL Server
• 97. Auditing SQL Server Activity
• 98. Protecting Sensitive Data
• 99. Performance Monitoring and Tuning Best Practices
• 100. Monitoring Database Performance Metrics