SQL Server Mastery

Introduction to Azure SQL: Database as a Service (PaaS)

1 Views Updated 5/4/2026

SQL in the Cloud: Azure SQL

Managing physical servers is expensive. Azure SQL Database provides a fully managed "Platform as a Service" (PaaS) version of SQL Server. Microsoft handles the patching, backups, and high availability, allowing you to focus on your code.

1. Serverless vs Provisioned

  • Provisioned: You pay for a fixed amount of CPU and RAM (e.g., 2 vCores). Good for predictable workloads.
  • Serverless: The database "Sleeps" when not in use and auto-scales up during traffic bursts. You only pay for the seconds it was running. Perfect for Dev/Test and small apps.

2. High Availability (Built-in)

In Azure, your data is automatically replicated 3 times within a datacenter. If a hardware node fails, Azure flips a switch and you are back online in seconds with **Zero Data Loss**. You don't need a DBA to set up complex 'Failover Clusters' anymore.

4. Interview Mastery

Q: "What are the main differences between Azure SQL Database and SQL Server on a VM?"

Architect Answer: "Azure SQL (PaaS) is 'Database-as-a-service'; you don't have access to the OS or the SQL Instance settings (like Master DB or SQL Agent). It is cheaper and easier to scale. SQL Server on a VM (IaaS) is a full server; you have 100% control, but you are responsible for patching the OS and managing backups. We choose PaaS for new cloud-native apps and VM (IaaS) for legacy migrations that require 100% instance-level compatibility."

SQL Server Mastery
1. SQL Server Architecture & Basics
SQL Server Internals: How the Storage Engine works Relational Database Design & Normalization (1NF to 3NF) Data Types Mastery: Choosing the right type for performance
2. Advanced T-SQL Querying
Joins Deep Dive: Inner, Outer, Cross, and Self Joins Subqueries vs CTEs: Writing readable, high-performance code Window Functions: ROW_NUMBER, RANK, and LEAD/LAG Aggregations & Grouping Sets: Building complex reports Set Operators: UNION vs UNION ALL, INTERSECT, and EXCEPT
3. Indexing & Performance Tuning
Clustered vs Non-Clustered Indexes: The physical storage reality Covering Indexes & Included Columns: Reducing I/O costs Index Fragmentation: Why it happens and how to fix it Execution Plans: Reading the Query Optimizer's mind Statistics: Why 'Out of Date' stats kill performance SARGability: Writing queries that actually use indexes
4. Database Programmability
Stored Procedures: Security, Performance, and Best Practices User Defined Functions (UDF): Scalar vs Table-Valued Triggers: Auditing changes and the dangers of hidden logic Views & Indexed Views: Abstraction with performance Error Handling: TRY/CATCH and XACT_STATE()
5. Transactions & Concurrency
Transaction Isolation Levels: Read Uncommitted to Snapshot Locking & Blocking: Analyzing Deadlocks like a Pro Optimistic vs Pessimistic Concurrency
6. Administration & Security
SQL Server Security: Logins, Users, and Roles SQL Injection Prevention: Beyond simple parameterization Backup & Recovery Models: Full vs Simple vs Bulk-Logged Automating Maintenance: SQL Agent Jobs & Rebuilding Indexes
7. Modern SQL & Cloud
SQL Server & JSON: Storing and Querying semi-structured data Temporal Tables: Keeping track of data history automatically Introduction to Azure SQL: Database as a Service (PaaS) SQL Server Developer Interview: Junior to Senior Architect Level