Module 2 of this course offers an immersive exploration of the powerful world of SQL window functions and OLAP (Online Analytical Processing) concepts. You will learn about the definition and benefits of window functions, gaining proficiency in advanced applications such as RANK(), DENSE_RANK(), LEAD(), LAG(), NTILE(n), PERCENT_RANK(), and CUME_DIST(). Additionally, you'll develop the skills to control window function behavior using PARTITION BY and ORDER BY clauses, define custom window frames with RANGE and ROWS clauses, and design, query, and analyze OLAP datasets using ROLL-UP and DRILL-DOWN levels of aggregation.

In Module 3 of this course, you'll learn how to develop database applications using versatile programming languages such as Java, Python, or C++. You'll discover how to establish connections to databases, perform essential CRUD (Create, Read, Update, Delete) operations, and write code that supports SQL features like triggers, functions, and stored procedures used to facilitate complex queries in relational databases. The focus will be on robust database interactions, including error and exception handling to address connection issues, query failures, and data validation, ensuring the reliability of your applications.

Module 4 of this course provides an in-depth understanding of indexing within database systems. You'll define indexing and grasp its critical importance. Through comprehensive exploration, you'll differentiate between various types of indexes, including ordered and hash indexes, primary and secondary indexes, as well as multi-level and single-level indexes. Additionally, you'll delve into the structure of B+-trees, including nodes and leaves, and learn how these structures maintain balance, supporting efficient search operations. You'll also gain insight into B+-tree insertion and deletion operations.

In Module 5, you will enter into the world of database transactions and their critical role in ensuring data consistency and integrity. You will gain a comprehensive understanding of the four ACID properties (Atomicity, Consistency, Isolation, Durability) and their significance in maintaining the reliability of transactions. Additionally, you'll explore techniques for managing concurrent access to data, including discussions on COMMIT and ROLLBACK behaviors, serial and serializable schedules, and conflict serializability tests using graph-based techniques. This module will also cover concepts like equivalent serial schedules, recoverability, and cascade-less schedules, empowering you to design and manage complex database systems with confidence and precision.

Module 6 focuses on concurrency control in database management systems. You'll define concurrency control and understand its significance in maintaining data integrity while delving into the principles of lock-based concurrency control. This module will cover key concepts such as shared and exclusive lock types, lock modes, lock compatibility, and introduce the two-phase locking protocol with its guarantees. Additionally, you'll gain insights into how transactions acquire and release locks within this protocol, and you'll explore the concept of deadlocks and their underlying causes, equipping you with essential knowledge to manage concurrent access effectively and prevent data integrity issues in database systems.

This module contains the summative course assessment that has been designed to evaluate your understanding of the course material and assess your ability to apply the knowledge you have acquired throughout the course.