SQL Topics
HubAdvantages and Disadvantages of SQLFeatures of SQLHistory of SQLSQL vs NoSQLWhat is SQL?SQL CommentsSQL Data TypesSQL KeywordsSQL OperatorsSQL SyntaxCHECKComposite KeysDEFAULTFOREIGN KEYNOT NULLPRIMARY KEYSQL ConstraintsUNIQUEDELETE DataINSERT DataSELECT DataSQL AliasesUPDATE DataBETWEEN OperatorDISTINCT KeywordGROUP BY ClauseHAVING ClauseIN OperatorLIKE OperatorLIMIT ClauseORDER BY ClauseTOP ClauseWHERE ClauseWildcard CharactersEXCEPT Exclusion Rows OperatorINTERSECT Mutual Rows OperatorMINUS Difference Operator DatabaseUNION Deduplicated Set OperatorUNION ALL Combined Stack OperatorCROSS JOINFULL OUTER JOININNER JOINJOIN vs UNIONLEFT JOINRIGHT JOINSELF JOINSQL Joins OverviewANY and ALL OperatorsCASE ExpressionCorrelated SubqueryEXISTS OperatorNested SubqueriesScalar SubqueriesSubquery IntroductionAggregate FunctionsAVG FunctionConversion FunctionsCOUNT FunctionDate FunctionsMIN and MAX FunctionsNumeric FunctionsString FunctionsSUM FunctionALTER TABLECreate TableDROP TABLERename TableTemporary TableTRUNCATE TABLEBackup DatabaseCreate DatabaseDrop DatabaseRestore DatabaseCREATE VIEW Saved SELECT StatementsDROP VIEW Discard virtual tablesMaterialized Views Cash & StorageUPDATE VIEW ProceduresCreate ProcedureExecute ProcedureParameters in ProcedureProcedure vs FunctionStored Procedure IntroductionAFTER TriggerBEFORE TriggerINSTEAD OF TriggerTrigger ExamplesTrigger IntroductionACID Properties in SQLCOMMIT in SQLIsolation Levels in SQLROLLBACK in SQLSAVEPOINT in SQLRelational Transactions Control BasicsBoyce-Codd Normal Form BCNFDatabase NormalizationDenormalizationFirst Normal Form 1NFSecond Normal Form 2NFThird Normal Form 3NFClustered Indexes Storage Physical LayoutIndex PerformanceNon-Clustered IndexSQL Indexing Strategies IntroductionUnique IndexCommon Table Expressions CTEDynamic SQLFunctions in SQLMaterialized ViewsMERGE StatementPIVOT and UNPIVOTRANK, DENSERANK, and ROWNUMBERRecursive CTEStored ProceduresTriggers in SQLViews in SQLWindow FunctionsSQL Interview Questions AdvancedSQL Interview Questions BeginnerSQL Interview Questions IntermediateSQL Output-Based Interview QuestionsSQL Scenario-Based Interview QuestionsAnalyzing Execution Plan DiagramsEXPLAIN PlanIndexing StrategiesPartitioningQuery OptimizationSQL Performance TipsSQL ChallengesSQL Exercises AdvancedSQL Exercises BeginnerSQL Exercises IntermediateSQL ProjectsCreating Your First Database ConnectionInstall MySQLInstall PostgreSQLInstall SQLiteSQL Online CompilersSQL Roadmap
SQL Roadmap
title: SQL Roadmap
Welcome to the complete SQL learning path.
This roadmap is designed for:
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Students
Freshers
Backend Developers
Database Engineers
Data Analysts
Software EngineersBy following this roadmap sequentially, you will learn SQL from:
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Beginner
↓
Intermediate
↓
Advanced
↓
Optimization
↓
Projects
↓
Interview PreparationLearning Stages
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Stage 1 → SQL Fundamentals
Stage 2 → Database Design
Stage 3 → Data Retrieval
Stage 4 → Advanced SQL
Stage 5 → Performance Optimization
Stage 6 → Interview Preparation
Stage 7 → Real Projects
Stage 8 → SQL MasteryStage 1: SQL Fundamentals
Introduction
introduction/
├── what-is-sql.mdx
├── history-of-sql.mdx
├── features-of-sql.mdx
├── advantages-and-disadvantages.mdx
└── sql-vs-nosql.mdx
Learn:
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What SQL Is
Database Concepts
SQL vs NoSQL
History
FeaturesSetup
setup/
├── install-mysql.mdx
├── install-postgresql.mdx
├── install-sqlite.mdx
├── sql-online-compilers.mdx
└── create-first-database.mdx
Learn:
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Database Installation
Environment Setup
Creating First DatabaseBasics
basics/
├── sql-syntax.mdx
├── sql-comments.mdx
├── sql-data-types.mdx
├── sql-operators.mdx
├── sql-constraints.mdx
└── sql-keywords.mdx
Learn:
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Syntax
Data Types
Operators
KeywordsStage 2: Database Design
Database Operations
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database-operations/Learn:
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Create Database
Drop Database
Backup
RestoreTable Operations
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table-operations/Learn:
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Create Table
Alter Table
Rename Table
Drop Table
Temporary TablesConstraints
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constraints/Learn:
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Primary Key
Foreign Key
Unique
Check
Default
Composite KeysNormalization
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normalization/Learn:
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1NF
2NF
3NF
BCNF
DenormalizationStage 3: Data Retrieval & Manipulation
CRUD
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crud/Learn:
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INSERT
SELECT
UPDATE
DELETE
AliasesFiltering
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filtering/Learn:
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WHERE
ORDER BY
GROUP BY
HAVING
LIMIT
LIKE
IN
BETWEEN
DISTINCTFunctions
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functions/Learn:
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Aggregate Functions
String Functions
Date Functions
Numeric Functions
Conversion FunctionsJoins
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joins/Learn:
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INNER JOIN
LEFT JOIN
RIGHT JOIN
FULL JOIN
SELF JOIN
CROSS JOINSubqueries
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subqueries/Learn:
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Nested Queries
Correlated Queries
EXISTS
ANY
ALL
Scalar QueriesStage 4: Advanced SQL
Set Operators
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set-operators/Learn:
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UNION
UNION ALL
INTERSECT
EXCEPT
MINUSViews
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views/Learn:
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Views
Materialized ViewsStored Procedures
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stored-procedures/Learn:
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Procedure Creation
Execution
Parameters
Procedure vs FunctionTriggers
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triggers/Learn:
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Before Trigger
After Trigger
Instead Of TriggerTransactions
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transactions/Learn:
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COMMIT
ROLLBACK
SAVEPOINT
ACID Properties
Isolation LevelsAdvanced SQL
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advanced-sql/Learn:
CTE
Recursive CTE
Window Functions
Ranking Functions
Pivot
Case Expression
MERGE
Dynamic SQL
Stage 5: Performance Optimization
Indexing
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indexing/Learn:
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Indexes
Clustered Index
Non-Clustered Index
Unique Index
Performance TuningOptimization
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optimization/Learn:
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Query Optimization
Execution Plans
Partitioning
Performance TipsStage 6: Interview Preparation
Interview Questions
interview-questions/
├── sql-interview-beginner.mdx
├── sql-interview-intermediate.mdx
├── sql-interview-advanced.mdx
├── sql-scenario-questions.mdx
└── sql-output-based-questions.mdx
Prepare for:
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Placements
Technical Interviews
SQL Developer Roles
Backend InterviewsStage 7: Practice
practice/
├── sql-exercises-beginner.mdx
├── sql-exercises-intermediate.mdx
├── sql-exercises-advanced.mdx
├── sql-projects.mdx
└── sql-challenges.mdx
Learn Through:
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Exercises
Projects
Real ChallengesRecommended Learning Path
Week 1
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Introduction
Setup
Basics
CRUD
FilteringWeek 2
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Functions
Joins
Subqueries
Set Operators
ConstraintsWeek 3
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Views
Stored Procedures
Triggers
Transactions
NormalizationWeek 4
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Advanced SQL
Indexing
OptimizationWeek 5
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Interview Questions
ExercisesWeek 6
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Projects
Challenges
Portfolio BuildingSQL Developer Roadmap
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SQL Fundamentals
↓
Advanced SQL
↓
Optimization
↓
Backend Development
↓
System DesignRecommended Technologies:
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MySQL
PostgreSQL
Node.js
Java
Spring Boot
PythonDatabase Engineer Roadmap
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SQL Fundamentals
↓
Advanced SQL
↓
Indexing
↓
Optimization
↓
Partitioning
↓
Database AdministrationRecommended Technologies:
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PostgreSQL
Oracle
SQL Server
MongoDB
RedisData Analyst Roadmap
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SQL Fundamentals
↓
Joins
↓
Aggregations
↓
Window Functions
↓
Analytics ProjectsRecommended Tools:
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SQL
Excel
Power BI
Tableau
PythonPortfolio Projects
Build at least:
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Employee Management System
Library Management System
Student Management SystemThen move to:
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E-Commerce Database
Hospital Management
Banking SystemFinal SQL Master Checklist
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✓ SQL Syntax
✓ CRUD Operations
✓ Filtering
✓ Functions
✓ Joins
✓ Subqueries
✓ Set Operators
✓ Constraints
✓ Indexes
✓ Views
✓ Stored Procedures
✓ Triggers
✓ Transactions
✓ Normalization
✓ CTE
✓ Window Functions
✓ MERGE
✓ Dynamic SQL
✓ Optimization
✓ Partitioning
✓ Interview Questions
✓ Projects
✓ ChallengesEstimated Completion Time
| Level | Duration |
|---|---|
| Beginner | 2 Weeks |
| Intermediate | 2 Weeks |
| Advanced | 2 Weeks |
| Practice & Projects | 2 Weeks |
Total:
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6–8 Weeksfor strong SQL proficiency.
Congratulations 🎉
You have completed the complete SQL documentation roadmap consisting of approximately:
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128+ MDX Filescovering:
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SQL Fundamentals
Database Design
Advanced SQL
Performance Optimization
Interview Preparation
Projects
Real-World ChallengesThis roadmap can now serve as the master navigation page for the entire SQL learning platform.
Exam Focus
Revise definitions, diagrams, examples, and short-answer points for SQL Roadmap.
Interview Use
Prepare one clear explanation, one practical example, and one common mistake for this SQL topic.
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