SQL School

Official Learning Partner

#Fabric Data Engineer

✅Microsoft Fabric & Big Data
✅Cloud ETL & DataWarehouse
✅Fabric Data Factory (FDF)
✅Synapse Warehouse (DWH)
✅Spark, PySpark & Python ETL
✅Real-Time Data Processing
✅Data Governance and Security
✅Data Visualization Mastery
✅Big Data Handling with Lakehouse
✅AI & Machine Learning Integration

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If you need self
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Trainer: Mr. Sai Phanindra Tholeti
Profile: www.linkedin.com/in/saiphanindra/

Fabric Data Engineer Schedules

S No	Time (IST, Sat - Sun)	Start Date
1	8 AM - 10 AM (W)	Mar 1st
2	7 PM - 8 PM	Feb 24th

Fabric Data Engineer
Training Course Contents:

Brochure Download Register Now

Module 1: SQL Server & T-SQL Basics Training Content

Ch 1: DATABASE INTRODUCTION

Databases Introduction & Purpose
Database Types : OLTP, DWH, OLAP
Microsoft SQL Server Advantages, Use
SQL Server Components and Usage
Microsoft SQL Server – Career Options
Developer, DBA, Data Engineer
Data Analyst, Data Scientist Careers
SQL : Purpose, Real-time Usage Options
SQL Versus Microsoft T-SQL [MSSQL]
Course Plan, Real-time Project, Resume
24 x 7 Online Lab for Remote DB Access
Versions and Editions of SQL Server
SQL Server Pre-requisites : S/W, H/W
System Configuration Checker Tool

Ch 2: SQL SERVER INSTALLATION

SQL Server & SSMS Installation Plan
SQL Server Pre-requisites : S/W, H/W
SQL Server 2022 & 2019 Installation
Database Engine Feature, OLTP
Instances : Types and Properties
Default Instance, Named Instances
Service and Service Account Use
Authentication Modes and Logins
Windows Logins and SQL Logins
SQL Server Management Studio
Server Connections with SSMS Tool
Local and Remote Connections
System Databases: Master and Model
MSDB, TempDB, Resource Databases

Ch 3: SSMS Tool, SQL BASICS – 1

Creating Databases: Files [MDF, LDF]
Creating Tables in User Interface
Data Insertion & Report in User Interface
SQL : Purpose and Real-time Usage
SQL Versus T-SQL : Basic Differences
DDL, DML, SELECT, DCL and TCL
Creating SSMS Sessions : SPID
Create, Connect Databases using SQL
Creating Tables with INT, CHAR
Data Storage, Inserts – Basic Level
Table Data Verifications with Select
SELECT Statement for Table Retrieval
Identify Databases and Tables
Identify Sessions and Session ID

Ch 4: SQL BASICS – 2

Creating Tables: VARCHAR, FLOAT
Single Row Inserts, Multi Row Inserts
Rules for Data Insertion Statements
SELECT with WHERE Conditions
AND and OR Operators Usage
IN Operator and NOT IN Operator
Between, Not Between Operators
LIKE and NOT LIKE Operators
ORDER BY, TOP & OFFSET
Basic Sub Queries with SELECT
UPDATE Statement & Conditions
DELETE & TRUNCATE Statements
ALTER, ADD COLUMN Statements
DROP Statements: Table, Database

Ch 5: SQL Basics – 3, TSQL INTRO

Database Objects : Tables and Schemas
Schemas : Group Tables in Database
Schemas : Security Management Object
Creating Schemas & Batch Concept
Using Schemas for Table Creation
Data Storage in Tables with Schemas
Data Retrieval & Usage with Schemas
Table Migrations across Schemas
Import and Export Wizard in SSMS
Data Imports with Excel File Data
Performing Bulk Operations in SSMS
Temporary Tables : Real-time Use
Local and Global Temporary Tables
# and ## Prefix, Scope of Usage

Ch 6: Constraints, Index Basics

Constraints and Keys – Data Integrity
NULL, NOT NULL Property on Tables
UNIQUE KEY Constraints: Importance
PRIMARY KEY Constraint: Importance
FOREIGN KEY Constraint: Importance
REFERENCES, CHECK & DEFAULT
Candidate Keys and Identity Property
Database Diagrams and ER Models
Relationships Verification and Links
Indexes : Basic Types and Creation
Index Sorting and Search Advantages
Clustered and NonClustered Indexes
Primary Key and Unique Key Indexes
Need for Indexes – working with Keys

Ch 7: Joins Basics, TSQL Queries

JOINS – Table Comparisons Queries
INNER JOINS For Matching Data
OUTER JOINS For (non) Match Data
Join Queries with “ON” Conditions
Left Outer Joins – Example Queries
Right Outer Joins – Example Queries
FULL Outer Joins: Realtime Scenarios
CROSS JOIN and CROSS APPLY
One-way, Two way Data Comparisons
Using Table Aliases & Column Aliases
Optimizing Join Queries with Indexes
Choosing Correct Comparison Columns
Joining Unrelated Tables in TSQL
Self References, Self Joins in TSQL

Ch 8: Group By in TSQL, Views Basics

GROUP BY: Importance, Realtime Use
GROUP BY Queries and Aggregations
Group By Queries with Having Clause
Group By Queries with Where Clause
Using WHERE and HAVING in T-SQL
Group By with Joins in TSQL
Query Execution Order & Aliases
Joins with Sub Queries, Formatting
Database Objects: Overview & Usage
Views: Types, Usage in Real-time
Creating, Executing & Verifying Views
Storing Queries in Database Views
Excel Analytics – Joins & Views
Excel Office Data Connection Reports

Ch 9: Functions, Procedures Basics

Functions with SQL Server, TSQL
Scalar, Inline, Table Functions
Variables: Declare, Real-time Use
Creating, Executing Functions
Functions for Computations
Functions for Parameterized Joins
Procedures: Usage in Real-time
Using Parameters in SQL Server
Parameterized Joins in TSQL
Compilation with Stored Procedures
sp_help, sp_helptext, sp_helpindex
sp_helpdb, sp_rename, sp_recompile
System Views For Metadata Audits
DBID, DBName, ObjectID, ObjectName

Ch 10: TRIGGERS & TRANSACTIONS

Triggers – Purpose, Real-world Usage
FOR/AFTER Triggers – Real time Use
INSTEAD OF Triggers – Real time Use
INSERTED, DELETED Memory Tables
Using Triggers for Data Replication
Enable Triggers and Disable Triggers
Database Level, Server Level Triggers
Transactions : Types, ACID Properties
Transaction Types and AutoCommit
EXPLICIT & IMPLICIT Transactions
COMMIT and ROLLBACK Statements
Batch Concept and Go Statement
Open Transactions in Real-time
Using Conditional Commits, Rollbacks

Ch 11: Normal Forms, Cursors

First Normal Form and Atomicity
Third Normal Form and MVD Property
Boycee-Codd Normal Form : BNCF
Fourth Normal Form : Advantages
Self Reference Keys and 4 NF Usage
1:1, 1:M, M:1, M:M Relationship Types
Linked Servers Configurations, RPC
Linked Servers, Remote Joins in TSQL
2 Part, 3 Part, 4 Part Naming Styles
Remote Joins Queries and Aliases
Cursors – Basics, Data Operations
Cursors – Life Cycle & Declaration
Cursors Types, FETCH Operations
Cursors – Deallocate, Real-world Use

Ch 12: TSQL Queries, SQL Analytics

IIF() Function with SELECT Query
WHEN..THEN..ELSE
WHEN MATCHED, NOT MATCHED
Incremental Loads, Upsert Statement
Stored Procedures: Merge Statement
UNION and UNION ALL Operator
Window Functions: Rank, Dense Rank
Row_Number, PartitionBy in TSQL
Duplicate Row Identification, Deletion
Grouping, Cube, Rollup, Lag, Lead
Data Types: Numerical, Date, Time
Data Types: Characters, Real, Float
Date & Time Functions, DateAdd
String Functions, Concat, SubString

Case Study 1: Database Design with Tables,
Constraints, Keys & Relations

Case Study 2: Joins with Group By,
Sub Queries, Views, Excel Analytics

Module 2: Fabric Data Engineer Content

Ch 1 : Fabrics Introduction

Big Data Analytics with Azure
Products and Services in Analytics
Microsoft Fabric – One Umbrella
Microsoft Fabric – Advantages
Unified Data Foundation
AI Powered Capabilities
OneLake: Storage
Synapse: Engineering, Warehouse
Synapse: Data Science, Analytics
Power BI: Business Intelligence
Action platform; Data Activator
Governance; Purview

Ch 2 : Fabric Licenses, Capacity

Fabric Workspace : Licensing
Fabric Components & Tenant
Organizational Licenses
Capacity, PPU and SKUs
Individual Licenses: Free, Pro
SKU Types: Azure & Office 365
Fabric Workspace : Activation
GUI: Walk Thru Options
Data Factory, Synapse Options
Power BI & Streaming Objects
Creating Fabric Capacity
Pause / Resume Capacity

Ch 3: Lakehouse Concepts

What is Lakehouse?
How to configure LakeHouse?
Lakehouse Explorer Tool
Interacting with Lakehouse Items
Pipelines and Notebooks
Spark Jobs and Dataflows Gen 2
Using Lakehouse Explorer
Main View and Ribbon Area
Table Section, File Section
Data Load Options to Lakehouse
SyMS and Unidenfied Area
Landing Zone, Data Processing

Ch 4: Data Loads with Lakehouse

Large Scale Data Analytics
Onelake Metastore & Use
Workspace & LakeHouse
Lakehouse Explorer: Tables, Files
File Upload : Header, Data Types
Explorer Shortcuts in Lakehouse
File Data Load to Tables
SQL Queries in Tables
Lakehouse to SQL Endpoint
Transaction Audit: _delta_log
Aggregations, Visual Queries
Reports and Data Models

Ch 5: Fabric Data Factory – 1

Fabric Data Factory & ETL
Data Ingestions & Orchestrations
Dataflows and Pipeline Options
AI Based Transformations
Data Flows: Low Code Interface
Power Query : Advantages
Pipeline Design: Copy Data
Compute and Optimizations
Connections & Datasets
Pipeline Activity: Options
Column Mapping & ETL
Canvas : Debug & Monitoring

Ch 6: Fabric Data Factory – 2

Fabric Studio: Copy Data Activity
Copy Assistant : Usage Options
Connections & Linked Services
serialization/deserialization
compression/decompression
Colum Mapping & Conversions
Activity Timeouts, Retries
Secure Input / Output Options
Column Mapping & Settings
Fabric Pipelines: Copy Methods
Existing Pipeline Edits, Publish
Pipeline Monitor & Logging

Ch 7: Fabric Data Factory – 3

Fabric Studio: Data Flow Activity
Spark Clusters : Automations
Spark Cluster Debugging
Spark Cluster Sizing, Capacity
Lakehouse Table: ETL Process
ADLS File Connectors
Power Query Transformations
Power Query Profiling
In-Memory Processing, M Lang
Data Flow Optimizations
Partition Options & Tuning
Broadcast Options & Tuning

Ch 8: Fabrics & Spark Clusters

Apache Spark Configurations
Data Engineering/Science
Sark Compute & Capacity
Node Family Settings
Memory Optimized
Transaction Optimized
Runtime Versions, Scaling
Notebooks, Concurrency
Python Libraries in Spark
Dataframes & Realtime Use
Spark SQL Queries & Data Loads
Data Visualizations & Spark

Ch 9: Fabric Notebooks

Spark Jobs for ETL
Spark Dataframes for ETL
Inferring & Explicit Schema
sql.types
sql.functions
Filter, Group Data Frames
Dataframe Storage, Partition
Spark Catalog : Objects
TempView in Spark Catalog
Spark SQL API & Visualizations
Graphic Packages: PyPlot
Big Data Analytics with Spark

Ch 10: Synapse Warehouse – 1

Fabric Datawarehouse
DWH Creation Options
Sensivity Settings
Warehouse Compute
SSMS Connections
ADS Connections
Table Creations
Warehouse Sample
Data Load Options
Warehouse Query Options
Data Aggregations
Data Analytics

Ch 11: Synapse Warehouse – 2

Fabric Security Options
Warehouse Security Model
Warehouse Access Model
Fabric Workspace Roles
Item Permissions
Object Level Security
Sharing Warehouse
SQL Permissions
Read, Connect
SQL endpoint data
ReadAll & Build
Grant, Revoke, Deny

Ch 12: Synapse Warehouse – 3

Zero Copy Clone in DWH
Table Clone in Synapse
Table Clone Inheritance
Create Table As Clone
Table Cloning Scenarios
Cloning : Limitations
Warehouse Performance
Statistics : Creation, Use
Leverage Stats in DWH
In-Memory & SSD Cache
Disk Cache, Important DMVs
Cold Cache & Management

Ch 13: Synapse Realtime Analytics

Realtime Analytics in Fabric
Streaming & Time Series Data
Capture, Transform & Route
Ingest, Load and Stream
Data Integration At Scale
Creating KQL Databases
KQL Tables, Queries
BLOB Data Ingestions
Data Loads & Fabric Studio
Command Viewer Options
Partiaial Data Preview
Data Exploration

Ch 14: OneLake Concepts

Unified Data Lake in Fabric
Warehouse and Lakehouse
One Lake Workspace Management
Azure HD Insight : Security
DFS API and Connections
Fabric Workloads & Tuning
Onelake File Explorer
One Copy of Data, Data Engines
Compute and Analytics
Uni Management & Governance
Creating Lakehouse with Onelake
Data Loads with Lakehouse

Ch 15: Microsoft Fabric with Power BI

Using Power BI with Fabric
OneLake Connections with Power BI
Power BI Desktop with Fabric
Power BI Desktop with OneLake
Power BI Desktop with LakeHouse
Power BI Desktop with Synapse
Power BI Cloud with OneLake
Power BI Datasets (LIVE)
Power BI Datamarts and Usage
Dashboards with Fabric Metrics
Unified Data Foundation : OneLake
End to end Implementation Plan

Module 3: Power BI Training Content

Part 1: Power BI Report Design

Ch 1: POWER BI INTRODUCTION

Power BI : Introduction to Analytics
Power BI Tools Suite, Advantages
Power BI : Career Options, Plan
Power BI Developer Job Role
Microsoft Data Analyst Job Role
Big Data Analyst Job Role
Power BI Data Analyst (PL 300)
Data Engineer*, Power BI (DP 500 *)
Artificial Intelligence (AI) Visuals
AI Enabled Power BI Features
Course – Lab Plan with Design Tools
Need for Power Query & DAX
Power BI Licensing Types
Power BI Cloud – Advantages
Power BI Report Server Advantages

Ch 2: Basic Report Design

Power BI Eco System: Architecture
Data Sources & Types in Real-world
Report Types: Interactive, Paginated
Analytical Reports & Mobile Reports
Data Sources : File, Database, Web
Visualizations : Report Shapes
Power BI Design Tools, Requirements
Power BI Desktop Tool : Installation
Desktop Interface: Overview, Canvas
Get Data, Data View, Report View
In-Memory Xvelocity Database
Basic Visuals: Table, Tree Map
Data Labels, Legend, Category
Local Store: PBIX & PBIT Files
Data Points and Tooltips

Ch 3: Visual Interaction, Visual Sync

Visual Interaction with Data Points
Disabling / Enabling Interactions
Edit Interactions: Format Options
Spotlight and Focus Mode
Report Export to CSV, PDF
Tooltip Options and Usage
Working with Pages in PBI
Rename, Duplicate, Hide Pages
Slicer Visual : Real-time Usage
Orientation, Selection Properties
Slicer Settings : Tiles & Slider
Single & Multi Select, Header
Number, Text, Show Summary
Date Slicer and Value Selections
Slicer List, Dropdowns & Clear

Ch 4: Grouping & Hierarchies

Grouping : Visuals with Pdf Sources
List Grouping and Binning Options
Grouping Static / Fixed Data Values
Grouping Dynamic / Changing Data
Bin Size and Bin Limits (Max, Min)
Bin Count and Grouping Options
Group with Bins & Clustering
Group, Layer with Selection Pane
Creating Hierarchies in Power BI
Independent, Dependant Drill-Down
Drill-Down with Interactive Reports
Conditional Drilldowns, Data Points
Drill Up Buttons and Operations
Expand & Show Next Level
Dynamic Data Drills Limitations

Ch 5: Filters & Bookmarks

Filters : Types and Usage in Real-time
Visual Filter, Page Filter, Report Filter
Basic, Advanced and TOP N Filters
Category and Summary Level Filters
Data / Drill Options, DrillThru Filters
Keep All Filters” Options in DrillThru
CrossReport Filters, Include, Exclude
Drill-thru Filters, Page Navigations
Bookmarks : Report Navigations
Buttons, Images with Actions
Selection Pane, Actions, Text URLs
Show Data and See Records
Custom Tooltips, Table Visual
Table Vs Matrix : Drill-downs
Styles, Cell Properties, Databars
Conditional Formatting, Divergent

Ch 6: Big Data Access, Visuals

OLTP Databases, Big Data Sources
Azure Database Access, Reports
Import, Direct Query & Dual Mode
Data Modeling: Do Not Summarize
Data Modeling: Currency, Relations
Power BI Archtiecture, Eco System
Power BI Interface for Reports
Stacked Chart, Clustered Chart
Line Chart, Area Chart, Bar Chart
100% Stacked Bar & Column Chart
Map Visuals: Tree, Filled, Bubble
Small Multiples, Legends, Axis
Cards, Funnel, Table, Matrix
Scatter Chart : Play Axis, Labels
Waterfall Chart, Multi Row Cards

Part 2: Power Query, Cloud (Service)

Ch 7: POWER QUERY LEVEL 1

Power Query M Language Purpose
Power Query Architecture and ETL
Data Types, Literals and Values
Power Query Transformation Types
Table & Column Transformations
Text & Number Transformations
Date, Time and Structured Data
let, source, in statements @ M Lang
Get Data, Table Creations and Edit
ETL Operations with Power Query
Merge Transformations in Power BI
Join Kinds: Inner, Outer & Apply
Union All Transformation & Appends
Power Query Editor, Step Edits
Close & Apply Options. Report Design

Ch 8: POWER QUERY LEVEL 2

Query Duplicate, Query Reference
Group By and Advanced Options
Aggregations with Power Query
Transpose, Header Promotion
Reverse Rows and Row Count
Data Type Changes & Detection
Replace Columns: Text, NonText
Advanced Query Edit Options
Replace Nulls: Fill Up, Fill Down
Pivot, Unpivot Transformations
Move Column and Split Column
Date & Time Transformations
Derive Year, Quarter, Month, Day
Add Column : Query Expressions
Query Step Inserts and Step Edits

Ch 9: POWER QUERY LEVEL 3

Big Data Loads : Parameter Queries
Creating Parameters in Power Query
Parameter Data Types, Default Lists
Static & Dynamic Lists: List Queries
Convert Tables to Lists, Use Cases
Linking Parameters to Queries
Testing Parameters with Canvas
Multi-Valued Parameter Lists
Creating Lists in Power Query
Converting Lists to Table Data
Invoke Function, Type Conversions
Function Query & Parameter List
Columns From Examples, Indexes
Conditional Columns, Expressions
Disable / Enable Data Loads

Ch 10: POWER BI CLOUD – 1

Power BI Cloud Components
App Workspaces, Report Publish
Reports & Related Datasets Cloud
Creating New Reports in Cloud
Report Publish, Report Uploads
Report Edits and New Reports
Report Actions: Downloads
Dataset Usage Options in Cloud
Dashboards Creation and Usage
Pining Visuals and Report Pages
Visual Pin Actions in Dashboards
Dashboard & LIVE Interactions
Media Tiles: Images, Custom Links
Q & A Option with Dashboards
Pin with Q & A; Standard Visuals

Ch 11: POWER BI CLOUD – 2

Report Actions : Share, Subscribe
Report Actions : Lineage, Embed
Report Actions : Export Options
Report Actions : Public User Access
Dashboard Actions : Share, Subscribe
Dashboard Actions : Themes, Lineage
Dashboard Actions : Share, Subscribe
Favorite, Insights, Embed Code
Gateways Configuration, PBI Service
Gateway Types, Cloud Connections
Gateway Cluster, Add Data Sources
Data Refresh : Manual, Scheduled
Power Query Parameters, Gateways
DataFlows, Power Query in Cloud
Lineage, Share, Subscribe, Insights
Performance Inspector& Gateways

Ch 12: POWER BI CLOUD – 3

Workbooks : Excel Online & Pins
Power BI Apps: Creation & Usage
Power BI Segments, Content
Navigation Screens, Audience
App Publish, Verification & Edits
Export, Share & Subscribe
List View & Lineage View Options
Power BI Scorecards: Realtime Use
Paginated Reports – Design & Usage
Power BI Report Builder Tool
Microsoft Report Builder Tool
Report Builder : Datasets, Charts
Report Builder : Bar Charts, Fields
Report Builder : Creating RDL Files
Paginated Reports : Deployments

Part 3: DAX & Report Server

Ch 13: DAX Functions – Level 1

DAX : Importance in Real-time
DAX Data Types, Syntax Rules
DAX Measures and Columns
ROW Context and Filter Context
Operators, Special Characters
DAX Functions, Vertipaq Engine
DAX Cheat Sheet : Expressions
Data Analytics with DAX
DAX Measures : Expressions
ISBLANK, IF, IN, SUM
SUMX, AVG, AVERAGEX
Data Models: Fact, Dimensions
Detecting Relations for DAX
Star & Snowflake Schemas
Data Modeling Options in DAX

Ch 14: DAX Functions – Level 2

Quick Measures in Power BI
Average and Filtered Average
Running Totals, EARLIER( )
RELATED, COUNTROWS
CALCULATE Function Conditions
ALL Members Scope & IN
Account and Time Calculations
Star Rating, DAX Expressions
Data Modeling Options in DAX
1:1, 1:M and M:1 Relations
Working with Facts & Measures
Modeling : Missing Relations
Relationships & Importance
Modeling : Relation Management
Modeling with Multiple Keys

Ch 15: DAX Functions – Level 3

DAX : Variables and Expressions
Dynamic Expressions, RETURN
Current Value, Previous Value
SELECTED VALUE, Joins
FORMAT Function with DAX
RELATED, Joins in DAX
DAX Expressions with SQL DB
Time Intelligence Functions
Date Dimension : Generation
CALENDAR(), DATESYTD()
TOTALYTD, TOTALQTD
TODAY, DATE, DAY with DAX
SELECTEDVALUE, FORMAT
Date, Time and Text Functions

Ch 16: DAX Functions – Level 4

RLS: Row Level Security
Data Models in Power BI Desktop
DAX Roles Creation and Testing
DAX Expressions & Operators
PBIX Uploads: Power BI Cloud
Dataset Security with DAX Roles
Entity Sets and Slicing in DAX
Dataflows with Power BI
Analytical Reports – DAX Usage
Creating Data Models with DAX
Datasets in Excel and Dashboards
Using Excel Analyzer in Power BI
Power BI Data Source in Excel
Connection Strings and Refresh
Analytical Reports – Limitations

Ch 17: Power BI Report Server

Power BI Report Server Config
SQL Server Instance Verifications
Report Server DB, Temp Database
WebService & WebPortal URL
Uploading Interactive Reports
End User Report Share (pdf)
Power BI Desktop RS Tool
Interactive Reports: Report Server
Mobile Reports : Design Options
Mobile Reports : Grids, Elements
Mobile Reports : Uploads, Edits
Paginated Reports : Deployments
Paginated Vs Interactive Reports
Paginated Vs Analytical Reports
Paginated Vs Mobile Reports
Power BI Report Server Vs Cloud

Ch 18: Power BI Admin & AI

Power BI Cloud Management
Power BI Admin : Alerts
Workspace Management, Users
Security: Report, Dataset Levels
Security: Dataset, App Levels
Security: Workspace Options
PBI Performance Inspector
Power BI & Artificial Intelligence
Power BI & CoPilot Add-Ins
AI Visuals & Big Data Analytics
Smart Narrative and Q & A
Infographics, Icons and Labels
Key Influencer Visual in Power BI
Metrics Visual, Performance
Paginated Reports Visual

Power BI : Realtime Project (Sales – Retail)

Phase 1 : Basic Report Design

Project Requirement Analysis
Requirement Gathering, FSA
Report Design with Excel
Basic Data Modelling
Infographics, Histograms
Analytics and Formating

Phase 2 : SME Level

Report Design with SQL DB
SQL Database : Joins, Views
Dual Storage Mode, SQL Queries
Data Modeling, Power Query
Dynamic Connections, Azure DB
Parameters and M Lang Scripts

Phase 3: Deployments (Cloud, Server)

DAX Requriements, Analysis
Cloud and Report Server
Custom Visualizations
3party Visuals & REST API *
Project FAQs and Solutions
One – One Resume, Mock Interview

SQL SCHOOL

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

Technical FAQs

Who is SQL School? How far you have been in the training services ?

SQL School is a registered training institute, established in February 2008 at Hyderabad, India. We offer Real-time trainings and projects including Job Support exclusively on Microsoft SQL Server, T-SQL, SQL Server DBA and MSBI (SSIS, SSAS, SSRS) Courses. All our training services are completely practical and real-time.CREDITS of SQL School Training Center

We are Microsoft Partner. ID# 4338151
ISO Certified Training Center
Completely dedicated to Microsoft SQL Server
All trainings delivered by our Certified Trainers only
One of the few institutes consistently delivering the trainings for more than 19+ Years online as inhouse
Real-time projects in
- Healthcare
- Banking
- Insurance
- Retail Sales
- Telecom
- ECommerce

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What is the Training Registration & Confirmation Process?

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Please Note: Slot Confirmation Subject to Availability Of Seats.

Will you provide the Software required for the Training and Practice?

Yes, during the free demo session itself.

How am I assured quality of the services?

We have been providing the Trainings – Online, Video and Classroom for the last 19+ years – effectively and efficiently for more than 100000 (1 lakh) students and professionals across USA, India, UK, Australia and other countries. We are dedicated to offer realtime and practical project oriented trainings exclusively on SQL Server and related technologies. We do provide 24×7 Lab and Assistance with Job Support – even after the course! To make sure you are gaining confidence on our trainings, participans are requested to attend for a free LIVE demo based on the schedules posted @ Register. Alternatively, participants may request for video demo by mailing us to contact@sqlschool.com Registration process to take place once you are happy with the demo session. Further, payments accepted in installments (via Paypal / Online Banking) to ensure trusted services from SQL School™

YES, We use Enterprise Edition Evaluation Editions (Full Version with complete feature support valid for SIX months) for our trainings. Software and Installation Guidance would be provided for T-SQL, SQL DBA and MSBI / DW courses.

Why Choose SQL School

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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
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