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Study relational design, SQL, transactions and storage, reinforce query concepts with SQL problems, and apply consistency and analytical exports in repository coding and review.
This comprehensive learning path takes you from database fundamentals to advanced topics, preparing you for real-world database design and interviews.
What you'll learn: • Database fundamentals (DBMS concepts, architecture, data models) • Relational model and relational algebra/calculus • Entity-Relationship modeling (ER and EER) • SQL from basics to advanced features • Normalization (1NF through 5NF) • Transaction management and concurrency control • Recovery and backup strategies • Storage systems and indexing (B-trees, hashing) • Query processing and optimization • Distributed databases and NoSQL • Data warehousing and OLAP
Each topic includes detailed explanations and real-world examples.
Three-Level Architecture
Database Schemas and Instances
Data Independence: The Foundation of Database Flexibility
DBMS Components: The Internal Architecture
Database Languages: The Complete Language Toolkit
Client-Server Architecture in Database Systems
Relations and Tables: The Foundation of Relational Databases
Attributes and Domains in the Relational Model
Tuples and Rows: The Atomic Units of Relational Data
Keys in the Relational Model
Integrity Constraints in the Relational Model
Relational Model Notation
SELECT Basics: Mastering Data Retrieval
The WHERE Clause: Filtering Data with Precision
NULL Handling in SQL
Logical Operators
ORDER BY: Mastering Result Set Ordering
DISTINCT and LIMIT: Controlling Result Sets
Category Discounted Product Pricing
Customer Referral Eligibility
Employee Low Bonus Audit
Large-Country Screening Report
Join Concepts
Mastering Inner Joins in SQL
Outer Joins: Preserving Unmatched Data
Other Join Types: Beyond Basic Joins
SQL Subqueries: Nested Query Power
Correlated Subqueries
Adjacent Free Seat Finder
Binary Hierarchy Node Role Tagging
Double Round-Robin League Fixtures
Employee Identity Bridge Report
SQL Aggregate Functions: Summarizing Data with Precision
GROUP BY: Categorizing and Summarizing Data
HAVING Clause: Filtering Grouped Data
Window Functions Basics
SQL Ranking Functions
Analytic Functions
Accounts Above Net Balance Threshold
Ad Campaign Click-Through Rate Ranking
Artist Presence Frequency on Streaming Chart
Average Process Duration by Machine
SQL Views: Virtual Tables and Data Abstraction
Common Table Expressions (CTEs)
Stored Procedures
SQL Functions
Triggers
Cursors in SQL
Latest Employee Compensation Snapshot
Minimum Coordinate Gap on a Line
Rapid Repeat Confirmation Requesters
State City Directory Rollup
Transaction Definition
ACID Properties: The Foundation of Reliable Transactions
Transaction States
Conflict Serializability
Recoverability
View Serializability
An unsuccessful credit capture changes account balances
Capture reserved credit only once
Recovery Algorithm Types
ARIES Recovery Algorithm Overview
ARIES Analysis Phase: Reconstructing System State
ARIES Redo Phase: Reconstructing Consistency
Undo Phase in ARIES Recovery
ARIES Advanced Features and Optimizations
Failed release journals leave a partially published room
Isolate the editorial transaction draft
Bitmap Indexes: Specialized Indexing for Analytical Workloads
Spatial Indexes: Indexing Multi-Dimensional Data
Full-Text Indexing and Search
Covering Indexes: Optimizing Query Performance Through Index Design
Multi-Column Indexes
Index Selection: The Art and Science of Strategic Indexing
Distributed Database Concepts
Data Fragmentation in Distributed Databases
Replication in Distributed Databases
Distributed Transactions
CAP Theorem: Fundamental Trade-offs in Distributed Systems
Sharding: Horizontal Scaling for Distributed Databases
OLTP vs OLAP: Understanding Transaction and Analytical Processing
Data Warehouse Concepts
Star Schema: The Foundation of Dimensional Modeling
Snowflake Schema Design
ETL Process: Extract, Transform, Load
OLAP Operations: Multidimensional Data Analysis
Bike Fleet Last Usage Timestamp
Buyer Yearly Order Volume Report
Calendar Date Long-Format Renderer
Country November Climate Banding
Implement grouped research-window reporting with Spark
Aggregate event counts and subject diversity in separate columns
Complete this path to earn a personalised certificate. You choose whether to make it public.