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#Microsoft SQL

Microsoft SQL Server is one of the stable technologies in database platform. SQL Databases are every where around us.. from Banking to HealthCare, from Petro Chemicals to Retail – SQL Server is the most preferred database systems in the IT market for last FOUR decades !

Learning SQL Server and TSQL is very easier, useful and simple.  With my step by step classes, I will make sure I teach every concept relating to the things around us !

Training Schedules

S NoTime (IST, Mon - Fri)Start Date
16 AM - 7 AMAug 5th
29 AM - 10 AMJuly 29th
36 PM - 7 PMAug 11th
48 PM - 9 PMAug 18th

Microsoft SQL (TSQL) Training Course Contents:

Module 1: MSSQL & TSQL Queries

Ch 1: SQL SERVER INTRODUCTION

  • Database Introduction
  •  Types of Databases
  •  Need for & ETL, DWH
  •  BI Implementations
  •  SQL Server Advantages
  •  Version, Editions of MSSQL
  •  Data Analyst Job Roles

Ch 2: SQL SERVER INSTALLATIONS

  • SQL Server 2022, 2019
  • SSMS Tools Installation
  • Database Engine (OLTP)
  • SCM, Configuration Tools
  • Instance Types, Uses
  • Authentication Modes
  • Collation, File Stream

Ch 3: SQL BASICS – 1

  • Need for Databases, Tables
  • Need for SQL Commands
  • DDL, DML & DQL Statements
  • Database Creation @ GUI
  • Data Operations @ GUI
  • Session ID, SQL Context
  • DB, Tables, Data @ SQL

Ch 4: SQL BASICS – 2

  • DDL Variants in MSSQL
  • DML Variants in MSSQL
  • INSERT & INSERT INTO
  • SELECT & SELECT INTO
  • Basic Operators in SQL
  • Special Operators in MSSQL
  • ALTER, ADD, TRUNCATE, DROP

Ch 5: Data Imports, Schemas

  • Data Imports with Excel
  •  ORDER BY & UNION
  • UNION ALL For Sorting Data
  •  Creating, Using Schemas
  •  Real-world Banking Database
  •  Table Migrations @ Schemas
  •  2 Part, 3 Part & 4 Part Naming

Ch 6 : Constraints, Index Basics

  • Need for Constraints, Keys
  •  NULL, NOT NULL, UNIQUE
  •  Primary Key & Foreign Key
  •  RDBMS and ER Models
  •  Identity Property, Default
  •  Clustered Index, Primary Key
  •  Non Clustered Index, Unique

Ch 7: Joins & Views Basics

  • JOINS: Purpose. Inner Joins
  • Left / Right / Full Outer Joins
  • Cross Joins, Query Tuning
  • Creating & Using Views
  • DML, SELECT with Views
  • RLS : WITH CHECK OPTION
  • System Views & Metadata

Ch 8: Functions(UDF), Data Types

  • Using Functions in MSSQL
  •  Scalar Value Functions
  • Inline & Multiline Functions
  • Date & Time Functions
  • String, Aggregate Functions
  • Data Types : Integer, Char, Bit
  • SQL Variant, Timestamp, Date

Ch 9: Stored Procedures,Models

  • Stored Procedures & Usage
  • Creating, Testing Procedures
  • Encryption, Deferred Names
  • SPs for Validations, Analysis
  • System SPs, Recompilation
  • Normal Forms & Types
  • Data Models, Self-References

Ch 10: Triggers, Temp Tables

  • Need for Triggers
  • DDL & DML Triggers
  • Using Memory Tables
  • Data Replication, Automation
  • Local & Global Temp Tables
  • Testing & Using Temp Tables
  • SELECT .. INTO & Bulk Loads

Ch 11: DB Architecture, Locks

  • Planning VLDBs : Files, Sizing
  • Filegroups, Extents & Types
  • Log Files : VLF, Mini LSN
  •  Table Location, Performance
  • Schemas, Transfer, Synonyms
  • Transactions Types, Lock Hint
  •  Query Blocking Scenarios

Ch 12 : Cursors & CTEs, Links

  • Cursors : Realtime Use
  • Fetch & Access Cursor Rows
  • CTEs for SELECT, DML
  • CTEs: Scenarios & Tuning
  • Linked Servers, Remote Joins
  • Linked Servers: MSDTC, RPC
  • Tuning Remote Queries

Ch 13: Merge, Upsert & Rank

  • Need for Merge in ETL
  • Incremental Loads with SQL
  • MERGE and RANK Functions
  • Window Functions, Partition
  • Identify, Remove Duplicates

Ch 14: Grouping & Cube

  • Group By & HAVING
  • Cube, Rollup & Grouping
  • Joins with Group By
  • 3 Table, 4 Table Joins
  • Query Execution Order

Ch 15: Self Joins, Excel Analysis

  • Self Joins & Self References
  •  UNION, UNION ALL
  •  Sub Queries with Joins
  •  IIF, CASE, EXISTS Statements
  •  Excel Analytics, Pivot Reports

Module 2: TSQL Programming

Ch 16: Adv. Stored Procedures 1

  • Declaring, Using Variables
  • Using Triggers with Views
  • Updatable Views, DML
  • Views & Stored Procedures
  • Data Distributions in Tables
  • Transactions with Procedures
  • Conditional Commits in SPs
  • Rollback Options in Realtime

Ch 17: Adv. Stored Procedures 2

  • Table Valued Parameters
  •  Using TVP with Procedures
  •  Creating User Defined Types
  •  Big Data Copy & Transactions
  •  Using SPs & Table Variables
  •  Transactional Integrity
  •  Output Parameters in SP
  •  IN and OUT Options Usage

Ch 18: Adv. Stored Procedures 3

  • Dynamic SQL Programs
  • sp_executesql Extended SP
  •  Formatting Queries, Nvarchar
  •  Cursors Types: Local, Global
  •  Cursor Types: Static, Dynamic
  •  Forward Only, Scroll Types
  •  WHILE Loop: @@Fetch Status
  •  Variables with Dynamic SQL

Ch 19: Complex Functions (UDF)

  • Inline, Table Line Functions
  • Multi Line Table Functions
  •  Using LOOPs in Functions
  •  Variables & Return Values
  •  Table Generation Logic
  •  Date & Time Data Types
  •  Calendar Data Generations

 Ch 20: Complex Functions – 2

  •  Reading JSON Data
  • Using OPENROWSET ()
  •  Using nvarchar(max) values
  •  Using PIVOT () Function
  •  Data De-duplication in SQL
  •  Recursive CTEs, Anchors
  •  Recursive CTEs, Anchors

Ch 21 – 24: Banking Project

  • Design & Planning Phase
  •  Querying Phase
  •  Programming Phase
  •  Debugging Phase
  •  Testing Phase
  •  Complete Project Solution
  •  Project FAQs, Resume Points

Module 3: Query Tuning

Ch 25: Performance Tuning Intro

  • Performance Tuning: Reasons
  • Factors Affecting Performance
  • Processor Affinity and Memory
  • Disk Configurations and Memory
  • Server Dashboards & Monitoring
  • Performance Tuning Techniques

Ch 26: Server Architecture

  •  Database Engine Components
  • SQL OS Components
  • Protocols and Query Processing
  • MDAC and CLR Components
  • Parsing and Compilation
  • Memory Manager & IO Managers

Ch 27: Database Architecture

  • Planning for Large Databases
  • Primary & Secondary Data Files
  • Filegroups, Spacing and Sizing
  • Log File: Usage and Precautions
  • Creating Tables with Filegroups
  • Pages, Extents and VLF, MiniLSN

Ch 28: Query Audits

  • Activity Monitor Tool
  • Perfmon tool & counters
  • Query Audits: DMVs, DMFs
  • Plan Handle, Execution Time
  • Auditing Long Running Queries
  • Audit Frequent Running Queries

 Ch 29: Query Store

  • Buffer Cache: Limitations
  • Query Store: Advantages
  • Query Store: Configurations
  • Operation Mode, Data Flush
  • Query Mode, Capture Mode
  • Stats Collection, Stale Queries

 Ch 30: Indexes

  • Indexes: Realtime Use
  • Clustered Index: Sort, PadIndex
  • Non-Clustered Index: Regular
  • Included, Column Store Indexes
  • Filtered, Online Indexes
  • Covering Index, Selectivity

Ch 31: Indexed Views

  • Views with Schemabinding
  • Creating Views for Indexes
  • Creating Indexes on Views
  • Recursive Queries, Index Views
  • Composite Indexes
  • Indexes on Text Columns

Ch 32: Statistics

  • Statistics: Realtime Use
  • Automated Statistics
  • Index Statistics
  • Column Statistics
  • Conditional Statistics
  • Manual Update of Statistics

 Ch 33: Partitions

  • Partitions: Performance Tuning
  • Partition Functions & Schemes
  • Partition Un-partitioned Tables
  • Compressions: ROW, PAGE
  • Auditing Partitioned Structures
  • Partitions Limitations with OLTP

Ch 34: Index Management

  • Index Rebuilds, ReOrganize
  • Database Maintenance Plans
  • Page Count and Index Conditions
  • Degree Of Parallelism Settings
  • Resumable & Online Indexes
  • PAUSE, RESUME in Rebuilds

Ch 35: Tuning Tools

  • Tuning Tools: Workload Files, .trc
  • Profiler Tuning Template, Events
  • DTA, Profiler: Recommendations
  • PDS: Physical Design Structures
  • PDS Recommendations
  • DTA with Query Execution Cache

Ch 36: Execution Plans

  • Execution Plan Analysis
  • IO Cost and CPU Cost
  • SubTree & Operator Cost
  • NUMA Nodes, Processor Affinity
  • Thread Count, DOP
  • Table & Index Scan, Index Seek

Ch 37, 38: Temporal & MOT Tables

  • In-Memory Tables: Usage
  • MOT Tables and Performance
  • Memory Snapshots at Database
  • File Stream Files in SQL Server
  • Temporal Tables for DML Audits
  • Temporal Tables for Data Audits

Ch 39: Lock Management

  • LOCKS : Types & Isolation Levels
  • S, X, IX,U, MD, Sch-M, Sch-S
  • Lock Audits: SP_WHO2, SP_LOCK
  • sysprocesses and Lock Waits
  • Open Transaction, Blocking
  • Deadlocks in Real-world

Ch 40: Isolation Levels

  • Lock Hints and Isolation Levels
  • Read Committed, Uncommitted
  • Serializable, Repeatable Read
  • Snapshot Isolation, Versioning
  • Read Committed Snapshot
  • Choosing Correct Isolation Level

Module 4: Azure SQL Dev

Ch 41: Cloud Basics, Azure Funda

  • Cloud Fundamentals
  • Cloud Concepts, Benefits
  • IaaS, PaaS, SaaS Cloud Types
  • Azure Cloud Concepts
  • Azure Resources & Usage
  • Azure Services & Purpose
  • Azure Account & Subscription

Ch 42: Azure SQL Database

  • Azure SQL Services
  • Azure SQL Server Creation
  • Azure SQL Databases
  • Azure Firewall: Rules
  • Test Connections from SSMS
  • SSMS Tool: Test Connections
  • ADS Tool: Installation, use

Ch 43: Azure SQL DB Migrations

  • SQL DB Migration Options
  • Data Migration Assistant: DMA
  • DMA Tool, Migration Options
  • On-Premises DB Export
  • Azure SQL Database Import
  • Azure Storage Account
  • Linking SSMS with Azure

Ch 44: Azure SQL DB Licensing

  • Azure SQL DB Licensing
  • Per Database Licensing
  • DTUs: Basic, Standard Types
  • VPU and Plan Types
  • DTU Versus VPU Licensing
  • Elastic DTUs (eDTU) Usage
  • Elastic Query Processing

Ch 45: Azure SQL DB Metrics

  • Azure SQL DB Metrics
  • CPU, Memory, Log Metrics
  • Data File Metrics, Alerts
  • Action Groups & Emails
  • Query Performance Insight
  • Automated Tuning Options
  • Query Recommendations

Ch 46: Azure SQL DB Tuning, AI

  • Automated Tuning Options
  • Manual Tuning Options
  • Server Level Tuning
  • Database Level Tuning
  • AI Search Service, Tuning
  • AI Indexes and Practical Use
  • Watermark Columns, Updates

Ch 47: Azure PaaS & Azure IaaS

  • Azure PaaS: Operations
  • Azure Paas: Limitations
  • Azure IaaS: Advantages
  • Azure IaaS Components
  • Azure Virtual Machines
  • Capacity & Networking
  • Disk & Memory Config.

Ch 48: Azure IaaS Concepts

  • Azure Virtual Machines
  • SQL Server with Azure VM
  • Access Azure VM from SSMS
  • Migrations from PaaS
  • Migrations from On-Premise
  • Azure Data Studio, VMs
  • Comparing SSMS & ADS Tool

Ch 49 – 50: Banking Project

  • OLTP Databases in Azure
  • Code Based Deployments
  • Code Less Deployments
  • Debugging Phases in Azure
  • Testing Phases in Azure
  • Complete Project Solution
  • Project FAQs, Resume Points

SQL SCHOOL

24x7 LIVE Online Server (Lab) with Real-time Databases.
Course includes ONE Real-time Project.

Microsoft SQL (TSQL) Training FAQ's

What is Microsoft SQL (TSQL) Job Role?

Microsoft SQL (TSQL) professionals focus on writing efficient queries, stored procedures, functions, views, and triggers to manage, manipulate, and retrieve data from SQL Server databases. The role involves designing database objects, creating data models, and optimizing TSQL scripts for performance, security, and scalability in transactional and reporting systems.

What are the Job Roles of an Microsoft SQL (TSQL)?

💼 Top Job Roles:

1️⃣ Writing complex TSQL queries for data extraction and reporting
2️⃣ Developing and managing stored procedures, functions, and views
3️⃣ Implementing triggers for data integrity and automation
4️⃣ Optimizing queries and indexes for performance tuning
5️⃣ Building and maintaining data models and relational structures
6️⃣ Collaborating with application teams for backend database logic and more..!

What does our Microsoft SQL (TSQL) Training course contains?

The course is carefully curated with below module:
👉🏻Module 1: MSSQL & TSQL Queries
👉🏻Module 2: TSQL Programming
👉🏻Module 3: Query Tuning
👉🏻Module 4: Azure SQL Dev

Who can join this course?

  • Freshers aiming to start a career in database development

  • Application developers wanting to enhance SQL Server backend skills

  • Data analysts requiring advanced querying capabilities

  • IT professionals upskilling for TSQL and SQL Server roles

  • Anyone passionate about working with databases and data

No prior coding experience is required. All concepts are taught from scratch

What training modes are available?

Option 1:        LIVE Online Training  (100% Interactive, step by step, assignments)

Option 2:        Self Paced Videos (100% practical, step by step with concept wise assignments)

You may choose any one of these options, same curriculum!

I (Trainer) shall be available for doubts and clarifications, assignment check and review.

Why should I choose SQL School for Microsoft SQL (TSQL) training?

👉🏻 Every session is Practical, Step by Step with Concept wise FAQs !!

👉🏻 100% results with on-time practice.  Daily Tasks for every session.

👉🏻 Concept wise tasks be submitted before next class for Job Waiters / Starters.

👉🏻 Concept wise tasks due for submission by Weekends for Working Professionals.

Why Choose SQL School

  • 100% Real-Time and Practical
  • ISO 9001:2008 Certified
  • Concept wise FAQs
  • TWO Real-time Case Studies, One Project
  • Weekly Mock Interviews
  • 24/7 LIVE Server Access
  • Realtime Project FAQs
  • Course Completion Certificate
  • Placement Assistance
  • Job Support
  • Realtime Project Solution
  • MS Certification Guidance