[100% Off] Graph Database Interview Question Practice Test
Graph Database: Master SQL, Design & Logic
What you’ll learn
- Master SQL syntax to create
- read
- update
- and delete data (CRUD) across relational database systems
- Design efficient
- normalized database schemas and tables to ensure data integrity and reduce redundancy.
- Develop complex Stored Procedures
- Functions
- and Triggers to automate database logic and tasks.
- Analyze query performance and implement indexing strategies to optimize speed and resource usage.
Requirements
- No prior coding experience is required. You will need a working computer to install free database software (like MySQL
- PostgreSQL
- or SQL Server) to practice along.
Description
Unlock the Power of Data with Professional Database Programming
In today’s digital economy, data is the most valuable asset a company possesses. Whether you are building a high-traffic e-commerce site, a mobile application, or a complex enterprise system, the backbone of your software is the database. This course is designed to transform you from a beginner into a skilled Database Programmer capable of designing, querying, and optimizing robust data solutions.
Many developers know basic SQL commands, but few understand the architectural logic required to build scalable systems. This comprehensive course bridges that gap. You will move beyond simple SELECT statements and dive deep into the mechanics of how databases actually work.
What you will master in this course:
-
Relational Theory & Design: Learn how to structure your data using Normalization (1NF, 2NF, 3NF) to ensure integrity and reduce redundancy.
-
Advanced SQL Querying: Master complex Joins, Subqueries, and Common Table Expressions (CTEs) to extract exactly the data you need.
-
Programmable Logic: specific modules on creating Stored Procedures, User-Defined Functions, and Triggers to automate server-side tasks.
-
Performance Optimization: Understand Indexing strategies and how to read Execution Plans to make your queries run lightning-fast.
-
Data Security: Best practices for managing user permissions and protecting sensitive data.
We focus on universal concepts applicable to major systems like MySQL, PostgreSQL, SQL Server, and Oracle. By the end of this course, you will have the confidence to architect databases that are secure, efficient, and scalable.
Enroll today and start building the foundation of modern software applications!
