SQL Training Courses
Learn SQL with Simplilearn's comprehensive course.Gain essential skills in MySQL, PostgreSQL, and SQLServer.
- Experienced instructors with industry expertise
- Access to official guides and materials
- Covers all exam topics thoroughly
- Flexible study at your own pace
- Support for exam service
- Anytime access to study resources
What you'll learn
Learn SQL with Simplilearn's comprehensive course.Gain essential skills in MySQL, PostgreSQL, and SQLServer. Covering functions, joins, subqueries, and more,this 9-hour SQL training includes a certificate uponcompletion.ldeal for beginners and professionals seekingto boost their database management expertise.
Training Course Outline
SQL Training Courses
1.1 Introduction
2.1 SQL and Its Installation
3.1 MySQL Built in Function
4.1 Group By and Having
5.1 Joins in SQL
6.1 Subquery in SQL
7.1 Triggers in SQL
8.1 SQL with Python
9.1 PostgreSQL
10.1 How to Become SWL developer?
11.1 SQL interview Questions
Training Options
Self Paced Learning
- Lifelong access to high-quality content
- Curated by industry experts
- Customized learning progress
- 24/7 learner assistance and support
- Follow the latest technology trends
Exam Dump
- 100% Real Exam Practice Tests
- 100% Verified Exam Questions & Answers
- 100% Guarantee Passing Rate
- Average 7 Days to Practice & Pass
Description
Master SQL with Simplilearn's comprehensive course. Ideal for beginners & professionals. Gain skills in MySQL, PostgreSQL, SQLServer.
Pre-requisites
The course has no specific prerequisites.
Python Datascience PDF Free Download | SPOTO
Python Datascience PDF Free Download | SPOTO
Cours name: python File Type: PDF
SQL Exam & Certification
What is SQL?
SQL (Structured Query Language) is a standardized programming language designed for managing and manipulating relational databases. It enables users to define, query, update, and control data efficiently. SQL operates through declarative commands, allowing users to focus on what data to retrieve or modify rather than how to do it, making it accessible for both developers and non-technical users. Key functions include data definition (e.g., CREATE TABLE), data manipulation (e.g., INSERT, UPDATE), and transaction control (e.g., COMMIT). Widely used across systems like MySQL, PostgreSQL, and SQL Server, SQL supports complex operations such as joins, aggregations, and subqueries, forming the backbone of modern data-driven applications.
Essential Skills in MySQL
Mastering MySQL requires proficiency in:
- Database Design: Structuring tables, defining relationships, and applying normalization principles.
- Query Optimization: Using indexes (B-tree, full-text) and analyzing execution plans with EXPLAIN to enhance performance.
- Transaction Management: Implementing ACID properties and isolation levels (e.g., REPEATABLE READ) for data consistency.
- Replication and Clustering: Configuring master-slave replication and understanding clustering for scalability.
- Security: Managing user privileges, preventing SQL injection, and encrypting sensitive data.
Essential Skills in PostgreSQL
PostgreSQL expertise involves:
- Advanced Data Types: Leveraging JSONB, arrays, and geospatial extensions like PostGIS.
- Concurrency Control: Utilizing MVCC (Multi-Version Concurrency Control) to handle simultaneous transactions.
- Performance Tuning: Optimizing queries with indexes (GIN, GiST), partitioning tables, and analyzing EXPLAIN outputs.
- High Availability: Setting up streaming replication, logical decoding, and backup strategies (e.g., pg_basebackup).
- Extensibility: Creating custom functions, triggers, and using procedural languages like PL/pgSQL.
Essential Skills in SQL Server
For SQL Server, focus on:
- Tool Proficiency: Navigating SQL Server Management Studio (SSMS) and Azure Data Studio for database administration.
- T-SQL Programming: Writing stored procedures, functions, and dynamic SQL for automation.
- Security Management: Configuring logins, roles, and row-level security (RLS).
- Performance Optimization: Implementing indexing strategies, in-memory OLTP, and analyzing execution plans.
- High Availability: Deploying AlwaysOn Availability Groups and failover clustering for disaster recovery.