PostgreSQL & SQL Assessment: Mastering Advanced Queries, Performance Tuning, and Stored Procedures
β 4.00/5 rating
π₯ 1,892 students
π November 2025 update
Add-On Information:
Get Instant Notification of New Courses on our Telegram channel.
Noteβ Make sure your ππππ¦π² cart has only this course you're going to enroll it now, Remove all other courses from the ππππ¦π² cart before Enrolling!
- Course Overview
- This specialized PostgreSQL Developer Assessment is meticulously designed to evaluate and enhance the technical proficiency of database professionals in one of the worldβs most advanced open-source relational database systems.
- The curriculum goes beyond basic syntax, focusing on the architectural depth of PostgreSQL, ensuring that learners can handle complex data modeling challenges and high-concurrency environments effectively.
- Participants will engage with a series of rigorous modules that simulate real-world database scenarios, requiring the application of advanced SQL logic to solve intricate data retrieval and manipulation problems.
- The course places a heavy emphasis on the internal mechanics of PostgreSQL, including how the query planner works, the importance of statistics, and the impact of vacuuming on database health and performance.
- This assessment serves as a benchmark for developers to identify their strengths and weaknesses in database administration, schema design, and sophisticated programming within the database engine itself.
- Updated for November 2025, the content reflects the latest features and optimizations introduced in recent PostgreSQL releases, ensuring that your skills remain relevant in the modern tech landscape.
- Requirements / Prerequisites
- A foundational understanding of Relational Database Management Systems (RDBMS) is essential, including a working knowledge of tables, primary keys, and foreign key relationships.
- Intermediate-level proficiency in Standard SQL is required, as the course dives quickly into complex joins, subqueries, and set operations without revisiting basic SELECT statements.
- Familiarity with the PostgreSQL environment, including tools like pgAdmin or the psql command-line interface, is necessary for completing the practical assessment components.
- Basic knowledge of data types (numeric, string, date/time) and an understanding of how databases store information on disk will help in grasping the performance tuning sections.
- A conceptual grasp of ACID properties (Atomicity, Consistency, Isolation, Durability) is recommended to understand how PostgreSQL manages transactions and ensures data integrity.
- Access to a local or cloud-based PostgreSQL instance is required to execute the practice queries and participate in the hands-on performance optimization exercises.
- Skills Covered / Tools Used
- Advanced Query Construction: Mastering the use of Common Table Expressions (CTEs), recursive queries, and complex window functions like NTILE, LAG, and LEAD for sophisticated data analysis.
- Performance Tuning: Utilizing the EXPLAIN ANALYZE command to dissect query execution plans, identifying sequential scans, and optimizing index usage to minimize resource consumption.
- Indexing Strategies: Implementing and managing various index types, including B-Tree, GIN, GiST, and BRIN, to accelerate search operations across diverse datasets.
- Stored Procedures and Triggers: Developing robust server-side logic using PL/pgSQL to automate data validation, auditing, and complex business workflows directly within the database.
- Concurrency Control: Managing Multi-Version Concurrency Control (MVCC) settings, understanding lock levels, and preventing deadlocks in high-traffic multi-user applications.
- JSONB and NoSQL Capabilities: Leveraging PostgreSQLβs powerful JSONB data type to store and query semi-structured data with high efficiency and indexing support.
- Partitioning and Sharding: Implementing declarative table partitioning to manage massive datasets, improving maintainability and query performance through partition pruning.
- Benefits / Outcomes
- Technical Mastery: Transition from a standard SQL user to a PostgreSQL Expert capable of designing high-performance database architectures that scale with business growth.
- Optimization Prowess: Gain the ability to transform slow-running, resource-intensive queries into streamlined operations, significantly reducing server costs and improving user experience.
- Architectural Insight: Develop a deep understanding of schema normalization and denormalization trade-offs, allowing for better data integrity and retrieval speeds.
- Career Advancement: Validating your skills through this assessment makes you a highly attractive candidate for Senior Database Developer or Backend Engineer roles in top-tier tech firms.
- Problem-Solving Autonomy: Acquire the diagnostic skills needed to troubleshoot complex database issues independently, from transaction isolation errors to disk I/O bottlenecks.
- Future-Proof Skills: By mastering the nuances of the November 2025 update, you ensure your knowledge aligns with the current industry standards and the latest PostgreSQL innovations.
- PROS
- Real-World Simulation: The assessment uses realistic datasets and business scenarios that mirror the challenges faced by database engineers in professional environments.
- Comprehensive Feedback: Provides detailed insights into your query performance, helping you understand not just “if” a query works, but “how well” it executes.
- Up-to-Date Content: Includes the latest PostgreSQL features and best practices, ensuring you aren’t learning outdated techniques or deprecated syntax.
- Scalable Learning: Suitable for developers working on small projects as well as those managing enterprise-level distributed database systems.
- CONS
- Steep Learning Curve: Due to its advanced nature, this course may be overwhelming for absolute beginners who do not have a solid grasp of basic relational algebra and SQL fundamentals.
Learning Tracks: English,IT & Software,IT Certifications
Found It Free? Share It Fast!