Day |
Focus Area |
Tasks |
1-5 | SQL Fundamentals | Master the basics, including data types, SELECT statements, and CRUD operations. Practice writing queries with various conditions. |
6-10 | Data Modeling and Normalization | Explore advanced data modeling concepts, focusing on normalization. Design efficient and normalized database structures. |
11-15 | Complex Queries | Advance to complex SQL queries, incorporating JOIN operations and subqueries. Practice working with large datasets and optimization. |
16-20 | Transaction Management | Deepen your understanding of transactions, ACID properties, and isolation levels. Practice managing transactions in different scenarios. |
21-25 | Stored Procedures and Triggers | Dive into stored procedures and triggers. Learn how to encapsulate business logic, automate actions, and enhance database functionality. |
26-30 | Performance Optimization | Explore advanced performance optimization techniques, including indexing strategies, query tuning, and analyzing execution plans. |
31-35 | Database Security | Master database security principles, including user roles, privileges, and encryption. Implement security best practices in SQL development. |
36-40 | Advanced Querying Techniques | Explore advanced querying techniques such as window functions, common table expressions (CTEs), and dynamic SQL. Apply these in real-world scenarios. |
41-45 | Views, Indexing, and Query Optimization | Deepen your knowledge of views, indexing, and further optimize complex queries. Understand the impact of indexing on query performance. |
46-50 | Real-world Projects and Review | Apply SQL skills to diverse real-world projects, emphasizing practical applications. Review key concepts and reinforce learning through projects. |
51-55 | Advanced Topics and Specializations | Explore specialized topics such as geospatial data, XML/JSON in SQL, and Full-Text Search. Delve into areas aligned with your career goals. |
56-60 | Review, Refine, and Future Learning | Review the entire SQL spectrum, refining your understanding. Identify areas for continuous improvement and plan for future learning and specialization. |
Day |
Focus Area |
Tasks |
1-5 | SQL Fundamentals | Master the basics, covering data types, SELECT statements, and basic CRUD operations. Practice writing efficient and well-structured queries. |
6-10 | Data Modeling and Normalization | Deepen your understanding of data modeling and normalization. Design complex database structures and practice optimizing for various scenarios. |
11-15 | Complex Queries and Subqueries | Advance to complex SQL queries, including subqueries and correlated subqueries. Explore advanced JOIN operations and practice query optimization. |
16-20 | Transaction Management and ACID Properties | Focus on transaction management, covering ACID properties and isolation levels. Implement and analyze transactions in various scenarios. |
21-25 | Stored Procedures and Triggers | Dive into stored procedures and triggers. Design and implement procedures for business logic, and automate actions using triggers. |
26-30 | Performance Optimization and Indexing | Explore advanced performance optimization techniques, emphasizing indexing strategies and their impact on query performance. |
31-35 | Database Security and Auditing | Master database security principles, including user roles, privileges, and auditing. Implement security measures and track database activities. |
36-40 | Advanced Querying Techniques | Delve into advanced querying techniques such as window functions, common table expressions (CTEs), and dynamic SQL. Apply them in real-world scenarios. |
41-45 | Views, Materialized Views, and Query Optimization | Deepen your knowledge of views and materialized views. Optimize complex queries and understand the trade-offs between views and performance. |
46-50 | Real-world Projects and Specializations | Apply SQL skills to diverse projects, emphasizing practical applications. Explore specialized areas such as data warehousing or big data technologies. |
51-55 | Advanced Topics: XML, JSON, and Geospatial Data | Explore handling XML/JSON in SQL, work with geospatial data, and understand spatial indexing. Apply these concepts in real-world scenarios. |
56-60 | Full-Text Search and Advanced Indexing | Deepen your understanding of full-text search capabilities in SQL. Explore advanced indexing techniques, including filtered and spatial indexes. |
61-65 | Integration: SQL with Programming Languages | Learn how to integrate SQL with programming languages like Python or Java. Explore techniques for embedding SQL in application code. |
66-70 | Backup and Recovery Strategies | Understand backup and recovery strategies for databases. Practice creating backups, restoring data, and planning for disaster recovery. |
71-75 | Cloud Database Services and NoSQL Concepts | Explore cloud-based database services (e.g., AWS RDS, Azure SQL Database) and understand the basics of NoSQL databases. |
76-80 | Advanced Security Measures and Compliance | Delve into advanced security measures, compliance standards, and encryption techniques. Implement security best practices for sensitive data. |
81-85 | Data Warehousing Concepts and ETL Processes | Learn about data warehousing concepts and ETL (Extract, Transform, Load) processes. Understand how to design and optimize for data warehouses. |
86-90 | Review, Refine, and Future Learning | Review the entire SQL spectrum, refine your understanding, and identify areas for continuous improvement. Plan for future learning and specialization based on career goals. |