Course Description
The course will begin with an introduction to database concepts, normalization, and the SQL (Structured Query Language) syntax. Students will learn how to design and create databases, tables, and relationships, and how to insert, update, delete, and query data using SQL. Advanced topics such as stored procedures, triggers, indexes, and transactions will also be covered, enabling students to optimize database performance and ensure data integrity. Throughout the course, students will work on hands-on projects and exercises, allowing them to apply their knowledge to real-world scenarios and develop practical skills that are highly sought after in the industry. By the end of the course, students will be proficient in database design, development, and management using SQL Server, preparing them for a career in database administration, data analysis, or software development.
What you’ll learn
- Introduction to SQL Server 2022
- Data Management and Security
- Query Performance and Optimization
- Data Modeling and Database Design
- Business Intelligence and Data Visualization
- Machine Learning and Artificial Intelligence
- Cloud and Hybrid Deployments
- Advanced Topics and Best Practices
This course is designed to build a strong foundation in computer science, covering core topics like programming, cloud computing, and emerging technologies. By working on practical projects and real-world applications, students will gain hands-on experience and develop critical skills to thrive in today's tech landscape.
Overview of SQL Server 2022 features and enhancements
Installation and configuration options
Upgrading from previous versions
Data masking and row-level security
Backup and recovery options
Data encryption and access controls
Advanced threat protection and auditing
Query optimization techniques and best practices
Indexing and statistics management
Query store and performance monitoring
Troubleshooting common query performance issues
Data Modeling concepts and best practices
Database design principles and patterns
Normalization and denormalization techniques
Data warehousing and business intelligence
Introduction to business intelligence and data visualization
SQL Server Reporting Services (SSRS) and Power BI
Data Visualization best practices and techniques
Creating interactive and dynamic reports
Introduction to machine learning and AI concepts
SQL Server Machine Learning Services and R Services
Building and deploying machine learning with business intelligence
Introduction to cloud and hybrid deployment options
SQL Server on Azure and Amazon Web Services (AWS)
Hybrid Deployment scenarios and best practices
Migrating on-premises databases to the cloud
Advanced query techniques and optimization methods
Database administration and maintenance best practices
Troubleshooting common issues and errors
Staying up-tod-date with the latest SQL Server features and updates
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