Azure BI Online Training

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Course Highlights

This impeccable Azure BI Training course is carefully designed for aspiring BI Developers, Consultants and Azure Professionals. This Azure BI Online Training includes basic to advanced Azure Data Factory (ADF), Azure Storage, Azure Data Lake (ADL) and Azure Analysis Services (AAS) concepts with Real-time Project on End to End Implementation. This Azure BI Online Training course also includes Azure Migrations, Azure DataWarehouse (ADW) [Azure Synapse], Azure Data Bricks for Big Data Analytics, helpful for your next Job as well as to reshape your resume.

Complete practical and realtime Azure BI Training course with 24×7 LIVE server, Resume Guidance, ONE Real-time Project with Interview & Placement Assistance.

Training highlights

Azure DevOps and azure fundamentals video banner

Azure Fundamentals
Azure SQL Concepts
Azure AD
Azure Monitor
Azure Data Factory
Azure Synapse

Data Lake Storage
Stream Analytics
Azure Cosmos DB
Python, Scala
End to End Real-time Project @ Resume

Azure AD
Azure Migrations
Azure Key Vaults
Azure Notebooks
Azure Synapse

Azure Storage
Data Lake Analytics
IoT, Event Hubs
Azure Databricks
Spark Clusters

Course Content

Azure BI Training
Course Contents:

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Module 1: SQL Server & T-SQL Queries Training Content For Plan C

Ch 1: DATABASE INTRODUCTION

Data, Databases and RDBMS Software
Database Types : OLTP, DWH, OLAP
Microsoft SQL Server Advantages, Use
Versions and Editions of SQL Server
SQL : Purpose, Real-time Usage Options
SQL Versus Microsoft T-SQL [MSSQL]
Microsoft SQL Server – Career Options
SQL Server Components and Usage
Database Engine Component and OLTP
BI Components, Data Science Components
ETL, MSBI and Power BI Components
Course Plan, Concepts, Resume, Project
24 x 7 Online Lab for Remote DB Access
Software Installation Pre-Requisites

Ch 2: SQL SERVER INSTALLATIONS

SQL Server & SSMS Installation Plan
SQL Server Pre-requisites : S/W, H/W
SQL Server 2022 & 2019 Installation
Instance Name and Server Features
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, INDEXES

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 QUIRIES

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
Table Aliases with Join Queries
Using Table Aliases & Column Aliases
Optimizing Join Queries with Indexes
Choosing Correct Comparison Columns
Joining Unrelated Tables in TSQL

Ch 8: GROUP BY, LINKED SERVERS

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
Using Group By in Data Audits
Using Group By with Joins – 2 Tables
Linked Servers Configurations
Linked Servers: RPC Settings & Tests
Data Access & Windows Security
Linked Servers, Remote Joins in TSQL
Multi Server Connections, DB Access
2 Part, 3 Part, 4 Part Naming Styles
Remote Joins Queries and Aliases

Ch 9: VIEWS – BASICS, DATA TYPES

Database Objects: Overview & Usage
Views: Types, Usage in Real-time
Creating, Executing & Verifying Views
DML Operatons with Views
Using WITH CHECK OPTION in Views
System Predefined Views and Audits
databases, sys.schemas, sys.tables
Variables – Purpose & Usage
Variables – Declaration and Data Retreival
Table Variables : Declaration, Usage
Data Types – Numeric, Character Types
Data Types – Decimal, Floating Types
Data Types – Date and Time Data Types
Cursor Data Type and Realtime Use

Ch 10: FUNCTIONS, PROCEDURES BASICS

Using Variables in Real-time
Understand & Use Parameters
Procedures: Usage in Real-time
Creating and Executing Stored Procs
Using Parameters in SQL Server
Functions: Creation, Usage in Real-time
Using table Data Type with Functions
Functions for Dynamic, Condition Joins
Implement Parameterized Joins
Data and Time Functions with Queries
String Functions & Usage in TSQL
Verify Database Objects; sp_helpdb
sp_help, sp_helptext, sp_helpindex
sp_help, sp_rename, sp_recompile

Ch 11: 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
Using Transactions in Real-time
Using Conditional Commits, Rollbacks

Ch 12: NORMAL FORMS, MERGE

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
MERGE Statement – Comparing Tables
WHEN MATCHED and NOT MATCHED
Incremental Load & MERGE Statement
UPSERT Operations with MERGE
DML Operations with ON Keyword
Comparing JOINS with MERGE
Stored Procedures for Merge Statement

Ch 13: TSQL Queries: Group By, Joins

Joins with Group By Queries in TSQL
Joining 4 Tables with Group By
Multi Table Joins with Table Aliases
Query Execution Order & Aliases
Joins with HAVING Conditions
Joins with WHERE & Aggregations
Joins with Sub Queries, Formatting
Joins with IIF() Function, Conditions
Joins with CASE Statement Conditions
UNION and UNION ALL Operator
Storing Queries in Database Views
Excel Office Data Connection Reports
Manual Data Refresh in Excel Reports

Ch 14: Architecture, Cursors & CTEs

Database Architecture : Data & Log Files
Secondary Data Files (ndf) & Table Data
Filegroups: Realtime Use, Data Mapping
Using Filegroups for Table Creations
File Size, Max Size and Auto Growth
Log Files (ldf) : Realtime Usage, Sizing
Cursors – Benefits, Cursors in SProcs
Using Cursors in Real-world Scenarios
Cursors : Declaring Variables, Life Cycle
Declaration, Open / Close Cursors
CTE: Common Table Expressions
Real-time Scenarios with CTEs – Usage
Using CTEs for Data Retrieval, SELECT

Case Study 1 – Database, Table Design
(Involves All concepts from Ch 1 to 7)

Case Study 2 – Query Writing
(Involves All concepts from Ch 1 to 14)

Module 2: Power BI Training Content For Plan A, B,C

Part 1: Power BI Report Design

Ch 1 : POWER BI BASICS

Power BI Job Roles in Real-time
Power BI Data Analyst Job Roles
Business Analyst – Job Roles
Power BI Developer – Job Roles
Power BI for Data Scientists
Comparing MSBI and Power BI
Comparing Tableau and Power BI
MCSA 70-778, MCSA 70-779 Exam
Types of Reports in Real-World
Interactive & Paginated Reports
Analytical & Mobile Reports
Data Sources Types in Power BI
Power BI Licensing Plans – Types
Power BI Training : Lab Plan
Power BI Dev & Prod Environments

Ch 2: BASIC REPORT DESIGN

Power BI Desktop Installation
Data Sources & Visual Types
Canvas, Visualizations and Fields
Get Data and Memory Tables
In-Memory xvelocity Database
Table and Tree Map Visuals
Format Button and Data Labels
Legend, Category and Grid
PBIX and PBIT File Formats
Visual Interaction, Data Points
Disabling Visual Interactions
Edit Interactions – Format Options
SPOTLIGHT & FOCUSMODE
CSV and PDF Exports. Tooltips
Power BI EcoSystem, Architecture

Ch 3 : Visual Sync, Grouping

Slicer Visual : Real-time Usage
Orientation, Selection Properties
Single & Multi Select, CTRL Options
Slicer : Number, Text and Date Data
Slicer List and Slicer Dropdowns
Visual Sync Limitations with Slicer
Disabling Slicers,Clear Selections
Grouping : Real-time Use, Examples
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
Grouping Binned Data, Classification

Ch 4 : Hierarchies, Filters

Creating Hierarchies in Power BI
Independent Drill-Down Options
Dependant Drill-Down Options
Conditional Drilldowns, Data Points
Drill Up Buttons and Operations
Expand & Show Next Level Options
Dynamic Data Drills Limitations
Show Data and See Records
Filters : Types and Usage in Real-time
Visual Filter, Page Filter, Report Filter
Basic, Advanced and TOP N Filters
Category and Summary Level Filters
DrillThru Filters, Drill Thru Reports
Keep All Filters” Options in DrillThru
CrossReport Filters, Include, Exclude

Ch 5 : Bookmarks, Azure, Modeling

Drill-thru Filters, Page Navigations
Bookmarks : Real-time Usage
Bookmarks for Visual Filters
Bookmarks for Page Navigations
Selection Pane with Bookmarks
Buttons, Images with Actions
Buttons, Actions and Text URLs
Bookmarks View & Selection Pane
OLTP Databases, Big Data Sources
Azure Database Access, Reports
Import & Direct Query with Power BI
SQL Queries and Enter Data
Data Modeling : Currency, Relations
Summary, Format, Synonyms
Web View & Mobile View in PBI

Ch 6 : Visualization Properties

Stacked Charts and Clustered Charts
Line Charts, Area Charts, Bar Charts
100% Stacked Bar & Column Charts
Map Visuals: Tree, Filled, Bubble
Cards, Funnel, Table, Matrix
Scatter Chart : Play Axis, Labels
Series Clusters & Selections
Waterfall Chart and ArcGIS Maps
Infographics, Icons and Labels
Color Saturation, Sentiment Colors
Column Series, Column Axis in Lines
Join Types : Round, Bevel, Miter
Shapes, Markers, Axis, Plot Area
Display Units,Data Colors,Shapes
Series, Custom Series and Legends

Part 2: ETL, Data Modeling, DAX

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
List, Record and Table Structures
let, source, in statements @ M Lang
Power Query Functions, Parameters
Invoke Functions, Execution Results
Get Data, Table Creations and Edit
Merge and Append Transformations
Join Kinds, Advanced Editor, Apply
ETL Operations with Power Query

Ch 8 : POWER QUERY LEVEL 2

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

Ch 9 : POWER QUERY LEVEL 3

Creating Parameters in Power Query
Parameter Data Types, Default Lists
Static/Dynamic Lists For Parameters
Removing Columns and Duplicates
Convert Tables to List Queries
Linking Parameters to Queries
Testing Parameters and PBI Canvas
Multi-Valued Parameter Lists
Creating Lists in Power Query
Converting Lists to Table Data
Advanced Edits and Parameters
Data Type Conversions, Expressions
Columns From Examples, Indexes
Conditional Columns, Expressions

Ch 10 : DAX Functions – Level 1

DAX : Importance in Real-time
Real-world usage of Excel, DAX
DAX Architecture, Entity Sets
DAX Data Types, Syntax Rules
DAX Measures and Calculations
ROW Context and Filter Context
DAX Operators, Special Characters
DAX Functions, Types in Real-time
Vertipaq Engine, DAX Cheat Sheet
Creating, Using Measures with DAX
Creating, Using Columns with DAX
Quick Measures and Summaries
Validation Errors, Runtime Errors
SUM, AVERAGEX, KEEPFILTERS
Dynamic Expressions, IF in DAX

Ch 11 : DAX Functions – Level 2

Data Modeling Options in DAX
Detecting Relations for DAX
Using Calculated Columns in DAX
Using Aggregated Measures in DAX
Working with Facts & Measures
Modeling : Missing Relations
Modeling : Relation Management
CALCULATE Function Conditions
CALCULATE & ALL Member Scope
RELATED & COUNTROWS in DAX
Entity Sets and Slicing in DAX
Dynamic Expressions, RETURN
Date, Time and Text Functions
Logical, Mathematical Functions
Running Total & EARLIER Function

Ch 12 : DAX FUNCTIONS Level 3

1:1, 1:M and M:1 Relations
Connection with CSV, MS Access
AVERAGEX and AVERAGE in DAX
KEEPFILTERS and CALCUALTE
COUNTROWS, RELATED, DIVIDE
PARALLELPERIOD, DATEDADD
CALCULATE & PREVIOUSMONTH
USERELATIONSHIP, DAX Variables
TOTALYTD , TOTALQTD
DIVIDE, CALCULATE, Conditions
IF..ELSE..THEN Statement
SELECTEDVALUE, FORMAT
SUM, DATEDIFF Examples in DAX
TODAY, DATE, DAY with DAX
Time Intelligence Functions – DAX

Part 3: Power BI Cloud, Admin

Ch 13 : POWER BI CLOUD – 1

Power BI Service Architecture
Power BI Cloud Components, Use
App Workspaces, Report Publish
Reports & Related Datasets Cloud
Creating New Reports in Cloud
Report Publish and Report Uploads
Dashboards Creation and Usage
Adding Tiles to Dashboards
Pining Visuals and Report Pages
Visual Pin Actions in Dashboards
LIVE Page Interaction in Dashboard
Adding Media: Images, Custom Links
Adding Chs and Embed Links
API Data Sources, Streaming Data
Streaming Dataset Tiles (REST API)

Ch 14 : POWER BI CLOUD – 2

Dashboards Actions,Report Actions
DataSet Actions: Create Report
Share, Metrics and Exports
Mobile View & Dashboard Themes
Q & A [Cortana] and Pin Visuals
Export, Subscribe, Subscribe
Favorite, Insights, Embed Code
Featured Dashboards and Refresh
Gateways Configuration, PBI Service
Gateway Types, Cloud Connections
Gateway Clusters, Add Data Sources
Data Refresh : Manual, Automatic
PBIEngw Service, ODG Logs, Audits
DataFlows, Power Query Expressions
Adding Entities and JSON Files

Ch 15 : EXCEL & RLS

Import and Upload Options in Excel
Excel Workbooks and Dashboards
Datasets in Excel and Dashboards
Using Excel Analyzer in Power BI
Using Excel Publisher in PBI Cloud
Excel Workbooks, PINS in Power BI
Excel ODC Connections, Power Pivot
Row Level Security (RLS) with DAX
Need for RLS in Power BI Cloud
Data Modeling in Power BI Desktop
DAX Roles Creation and Testing
Adding Power BI Users to Roles
Custom Visualizations in Cloud
Histogram,Gantt Chart,Infographics

Ch 16 : Report Server, RDL

Need for Report Server in PROD
Install, Configure Report Server
Report Server DB, Temp Database
Webservice URL, Webportal URL
Creating Hybrid Cloud with Power BI
Using Power BI DesktopRS
Uploading Interactive Reports
Report Builder For Report Server
Report Builder For Power BI Cloud
Designing Paginated Reports (RDL)
Deploy to Power BI Report Server
Data Source Connections, Report
Power BI Report Server to Cloud
Tenant IDs Generation and Use
Mobile Report Publisher, Usage

Ch 17: MSBI Integrations

Power BI with SQL Server Source
Power BI with SQL Data Warehouse
Power BI with SSAS OLAP Server
Power BI with Azure SQL DB Source
Power BI with Azure SQL Warehouse
Power BI with Azure Analysis Server
Power BI with SSRS (RDL) Reports
Power BI Report Builder Tool
Installation & Configuration
Paginated Reports Design, Use
Data Sources, Datasets, RDL
Report Publish (RDL) to Cloud
Report Verifications, Data Sync
Interactive Vs Paginated Reports
Creating, Managing Alerts in Cloud

Ch 18 : REAL-TIME PROJECT

Project Requirement Analysis
Implementing SDLC Phases
Requirement Gathering, FSA

Phase 1:

PBIX Report Design
Visualizations, Properties
Analytics and Formating

Phase 2:

Data Modeling, Power Query
Dynamic Connections, Azure DB
Parameters and M Lang Scripts

Phase 3:

DAX Requirements, Analysis
Cloud and Report Server
Project FAQs and Solutions

Module 3: Azure Data Engineer Training Content For Plan A, B,C

Mod 1: Azure Data Factory [ADF], Synapse

Chapter 1: Cloud Basics, Azure SQL DB

Cloud Introduction and Azure Basics
Azure Implementation: IaaS, PaaS, SaaS
Benefits of Azure Cloud Environment
Azure Data Engineer: Job Roles
Azure Storage Components
Azure ETL & Streaming Components
Need for Azure Data Factory (ADF)
Need for Azure Synapse Analytics
Azure Resources and Resource Types
Resource Groups in Azure Portal
Azure SQL Server [Logical Server]
Firewall Rules and Azure Services
Connections with SSMS & ADS Tools
Working with Azure Portal
Resource Group Navigations, Options

Chapter 2: Synapse SQL Pools (DWH)

Dedicated SQL Pools in Azure
Enterprise Data Warehouse with Synapse
DWU: Data Warehouse Units, Resources
Massively Parallel Processing (MPP)
Control Nodes and Compute Nodes
SQL Pool Access from SSMS Tool
T-SQL Queries @ SQL Pools
Start/Resume/Pause, Scaling Options
Creating Tables in Azure SQL Pool
Compression, MAX DOP & Indexes
Distributions: Round Robin, Hash
Distributions: Replicate and Usage
Data Imports with COPY Table
Dynamic Views (DMV) with PDW
Data Loads Monitoring, Resource Class

Chapter 3: Azure Data Factory Concepts

Azure Data Factory (ADF) Concepts
Hybrid Data Integration at Scale
ADF Pipeline Components & Usage
Configure ADF Resource in Azure
Understanding ADF Portal and IR
Linked Services and Connections
Datasets and Tables / Files for ETL
ADF Pipelines: Design, Publish & Trigger
ADF Pipeline with Copy Data Tool
Creating Azure Storage Account
Storage Container, BLOB File Uploads
Data Loads with Azure BLOB Files
DIU Allocations and Concurrency
Creating Linked Services, Datasets
Pipeline Trigger, Author and Monitor

Chapter 4: ADF Pipelines, Polybase

Copy Data Tool For ETL Operations
Azure SQL DB to Synapse Data Loads
Working with Multi Tables Data Loads
Query Options for Source Datasets
Transformations with Copy Data Tool
Rename, Rearrange & Remove Options
Pipeline Execution: DTU & DOCP
ADF Pipeline Monitoring Options
ADF Pipelines: Execution Settings
ADF Logging Options, Consistency Check
Compression Option, DOP and DOCP
ETL Staging Advantages & Performance
Staging with Storage Account, Container
ADF Pipeline Triggers and Monitoring
Polybase For Azure Synapse, Advantages

Chapter 5: OnPremise Data with ADF

On-Premise Data Sources with Azure
Self Hosted Integration Runtime (IR)
Access Keys, Remote Linked Services
Synapse SQL Pool (DW) with OnPremise
Staged Data Copy and Performance
Pipeline Executions and Monitoring
Pipeline RunIDs and Audits / Tracing
Incompatible Rows Skips, Fault Tolerance
Incremental Loads with Files (BLOB)
Pipeline Executions and Schedules
Regular Schedules and Tumbling Window
Execution Retry and Delay Options
Binary Copy, Last Modified Date in Blob
Automated Loops and Trigger Schedules
Incremental Loads Verification Tests

Chapter 6: ADF Data Flow – 1

Limitations with Copy Data Tool
Data Flow Task, Data Flow Activity
Transformations with Data Flow
Spark Cluster For Debugging
Cluster Node Configurations
Data Preview Options with DFT
SELECT Transformation & Options
JOIN Transformation and Usage
Conditional Split Transformation
Aggregate & Group By Transformations
Synapse Sink Options with DFT
DFT Optimization Techniques
Pipeline Debug Runs and ETL Testing
Spark Cluster For Pipeline Executions
Pipeline Monitoring & Run IDs

Chapter 7: ADF Data Flow – 2

ADF Pipelines For ETL Operations
Data Flow Tasks and Activities in Synapse
Pivot Transformation For Normalization
Generating Pivot Column, Aggregations
Pivot Transformation and Pivot Settings
Pivot Key Selection, Value and Nulls
Pivoted Columns and Column Pattern
Column Prefix, Help Graphic & Metadata
Window Functions & Usage in Data Flow
Rank / DenseRank / Row Number
Over Clause and Input Options
Derived Column Transformations
Exists & Lookup Transformations
Reusing Data Flow Tasks in Synapse
Pipeline Validations & Executions

Chapter 8: Azure Synapse Analytics

Azure Synapse Analytics Resource
Azure Synapse Analytics Workspace
Managed Resource Group, SQL Account
SQL Admin Account and its Purpose
Operations with Synapse Workspace
ADLS Gen 2 Storage Account, Container
Synapse Studio (Synapse Portal)
Dedicated SQL Pools & Spark Pools
Creating Dedicated SQL Pools
Synapse Tables, Data Loads with T-SQL
COPY INTO Statements with T-SQL
Clustered Column Store Indexes
Row Terminator and Compressions
T-SQL Queries and Aggregations
Aggregation Data Loads in Synapse

Chapter 9: Synapse Analytics with Spark

Apache Spark Pool in Azure Synapse
Spark Cluster Nodes: Vcores, Memory
Creating Spark Clusters @ Synapse Studio
Python Notebooks For Remote Access
Creating Databases in Apache Spark Pool
Data Loads from Dedicated SQL Pools
Table Creations, Aggregation Operations
PySpark Code for Data Operations, Writes
Serverless Pool in Azure Synapse
Connections, Usage with Serverless Pool
Using Azure OpenDatasets in Synapse
OPENROWSET and BULK Data Loads
Azure Storage Account : Data Analysis
Working with Parquet Files in Synapse
Python Notebooks (Pyspark) in Synapse

Chapter 10: Incremental Loads @ Synapse

Incremental Loads with Synapse Studio
Multi Table Merge Operations
On-Premise Data Sources & Timestamps
Azure SQL DB Destinations, Watermarks
Watermark Table Usage & Audits
Stored Procedures for Timestamp Updates
Table Data Type and Dynamic MERGE
SQL Queries for Datasets and Fetch
Lookup Activity and its Usage un Synapse
Expressions in ADF Portal for Lookup
Expressions in ADF Portal for Source
Output Pipeline Expression, Data Window
Concat Function, Run IDs Expressions
JSON Parameters, Pipeline Scheduling
Pipeline Validation, Trigger and Monitoring

Chapter 11: Optimizations, Power Query

ADF ETL with GUI : Power Query
Power Query Resoruce Creation, Use
Source Data Configurations & Settings
Rename, Remove, Pivot, Group By, Order
Index, Filter, Remove Error Rows
Using Power Query Activity, ADF Pipelines
Spark Cluster Configurations for Pipelines
Concurrency, Big Data Recommendations
Storage Optimization Techniques
ETL Optimization Techniques
SQL Pool (Synapse) Optimizations
Indexes, Partitions, Distributions, DOP
Pipeline Optimization Techniques
Partitions, DOCP, Compressions, DIU
Staging, Polybase and Core Counts

Chapter 12: Pipeline Monitoring, Security

Azure Monitor Resource and Usage
Pipeline Monitoring Techniques
ADF: Pipeline Monitoring and Alerts
Synapse: Pipeline Monitoring and Alerts
Synapse: Storage Monitoring and Alerts
Conditions, Signal Rules and Metrics
Email Notifications with Azure
Concurrency, Big Data Recommendations
Azure Active Directory (AAD) Users, Groups
IAM: Identity & Access Management
Synapse Workspace Security with RBAC
ADF Security with RBAC: Owner, Contributor
Azure Synapse SQL Pool Security: Logins
Users, Roles and Resource Classes (RC)
ADF V1 to V2 Migrations, Considerations

Mod 2: Azure Storage & Stream Analytics

Chapter 1: Azure Storage & Containers

Storage Components in Microsoft Azure
Azure Storage Services and Types – Uses
High Availability, Durability & Scalability
Blob: Binary Large Object Storage
General Purpose: Gen 1 & Gen 2 Versions
Blobs, File Share, Queues and Tables
Data Lake Gen 2 Operations with Azure
Azure Storage Account Creation
Azure Storage Container: Usage
Azure Data Explorer: Operations
File Uploads, Edits and Access URLs
Azure Storage Explorer Tool Usage
Azure Account Options in Explorer
Directory Creation, File Operations
End User Access Options With Files
Data Explorer Vs Storage Explorer Tool

Chapter 2: Azure Migration, BLOB Imports

SQL Server (On-Premise) to Azure Migration
Source Database Scripts & Validations
BACPAC File Generation From SSMS Tool
Azure Data Lake Storage and SSMS Access
Azure Storage Container, BACPAC Files
Azure SQL Server Creation From Portal
Azure SQL DB Imports, Storage SAS Keys
Azure SQL Database Migrations, Verification
BLOB Data Access from On-Premise
Data Imports From Excel and CSV Files
BLOB Data Imports using T-SQL Queries
SAS – Shared Access Signature Generation
CSV File – Uploads, Downloads, Edits, Keys
Master Keys, Credentials, External Sources
BULK INSERT Statement and Data Imports
T-SQL Imports : Practical Limitations

Chapter 3: Azure Tables, Shares

Azure Tables – Real-time Usage
Schema-less Design and Access Options
Structured and Relational Data Storage
Tables, Entities and Properties Concepts
Azure Tables: Creation and Data Inserts
Azure Tables in Portal – GUI and Data Types
Azure Tables: Data Imports in Explorer
Data Edits, Queries & Delete Operations
Azure Files – SMB Protocol, Creation, Usage
Shared Access, Fully Managed & Resiliency
Performance, Size Requirements for Shares
Azure Storage Explorer Tool for File Shares
Azure Queues: Message Queues, Limitations
Adding Messages, Queuing and De-Queuing
Data Access & Clear Queue from Explorer
End Points for Azure Message Queues

Chapter 4: Azure Storage Security, Admin

Azure Data Lake Storage Security Options
Shared Access Keys – Primary, Secondary Keys
SAS Key Generation: Container, Tables, Files
SAS Key Permissions, Validation Options
Access Keys: Account Level Permissions
Azure Active Directory (AAD): Users, Groups
Azure AD Security: RBAC with IAM, ACLs
Owner Role, Contributor and Reader Role
Azure Data Lake Storage Security Options
ACL : Access Control Lists & Security
Azure BLOB Storage Containers & ACLs
Folder Level and File Level Security
ACL Permissions: Read, Write & Execute
Access Policy: Creation and Realtime Use
Permissions: rwacdl; Azure Principals, CORS
Comparing IAM and ACLs in Data Lake Store

Chapter 5: Azure Monitoring, Power BI

Azure Monitor, Metrics & Logs
Monitoring Azure Storage Namespaces
Add KQL Metrics; Account, Blob and File
Total Ingress and Egress Metrics: Charts
Average Latency, Transaction Count
Request Breakdowns, Signal Logic Options
Azure Alerts and Conditions, Notifications
Signal Logic Conditions and Emails
Power BI Desktop Tool Installation
Binary Data and Record Data Access
Azure Data Lake Storage: Access Keys
Azure Data Lake Storage with Power BI
BLOB File Access with Power BI
Azure Tables Creation and File Imports
Azure Table Access with Power BI

Chapter 6: Azure Stream Analytics, IoT

Azure Stream Analytics: Real-time Usage
Real-time Data Processing, Event Tracking\
Ingest, Deliver and Analysis Operations
Azure Stream Analytics Jobs Concept
Understanding Input & Output Options
SAQL Queries for Stream Analytics Jobs
IoT: Internet Of Things For Real-time Data
Need for IoT Hubs and Event Hubs
Creating IoT Device for Data Inputs
Creating Azure Strean Analytics Resource
Stream Analytics Jobs for Historical Data
Azure SQL Database Options for ASA Jobs
SAQL: Query Formatting and Validation
Historical Data Uploads, ASA Job Execution
Stream Analytics Job Monitoring Options

Chapter 7: IoT Hubs & Event Hubs

Azure Stream Analytics For API Data
IoT Hubs & IoT Devices, Connection Strings
Rasberry APP Connections with IoT Hub
Azure Storage Account and Container
Creating Azure Stream Analytics Job
Configuring Input Aliases with IoT Hub
Configuring Output Alias with ADLS Gen 2
SAQL Query and Job Executions; Monitoring
Azure Event Hubs and Event Instances
Event Hub Namespaces, Partition Counts
Access Policies, Permissions & Defaults
RootManageSharedAccessKey & Options
Connection Strings & Event Service Bus
Telco App Installation, Executions. LIVE Data
On-Premise App Integration with ASA Jobs

Chapter 8: Azure Stream Analytics Security

Azure Key Vaults & ADLS [Data Lake] Security
Azure Passwords, Keys and Certificates
Azure Key Vaults – Name and Vault URI
Inbuilt Managed Key and Azure Key Vault
Standard Type, Premium Type Azure Key Vaults
Secret Page, Key Backups and Key Restores
Adding Keys to Azure Vaults. Key Type, Size
Using Azure Key Vaults to secure Resources
Azure Storage: Replications and DR Options
LRS: Locally Redundant Storage
GRS: Globally Redundant Storage
ZRS: Zone Redundant Storage
Replication Options and Advantages
Replication Verification and Modifications
Azure Storage Endpoints, Failover Partner

Mod 3: Azure Databricks & SparkSQL

Chapter 1: Azure Intro, Azure Databricks

Azure Databricks : Purpose & Config
Need for Azure Databricks (ADB)
Azure Databricks Service Creation
Azure Databricks Workspace & Usage
Spark Cluster Configurations & Capacity
Driver Nodes and Worker Nodes in Spark
Master Node & Cluster Creation Process
Cluster Types and Capacity Options
Standard, High Concurrency Clusters
Databricks Runtime Service & DBUs
Databricks File System (DBFS) and Usage
Azure Databricks Workspace Operations
ETL and Data Storage Components
Spark Concepts and Spark SQL
Spark Context and Spark Session
DataFrame, Dataset and Real-time Use

Chapter 2: SQL Notebooks & Python

Notebooks: Concept, Usage Options
Creating SQL Notebooks in Databricks
Using DBFS Tables in SQL Notebooks
Data Access and Analytics Options
SparkSQL Queries: SELECT, GROUP BY
SparkSQL Queries: Aggregates, Conditions
Notebook Operations: Download, Clone
Notebook Operations: Upload, Reuse
SQL Notebooks with Python Code
Using DBFS Sample Data Sources (CSV)
Dataframes: Creation and Real-time Use
Pandas Dataframe, Virtual Table Creation
Dataframe Data Access, Caching Options
Take() and Display() Functions in PySpark
Temporary View Creation and Access
SparkSQL Queries, Analytics, Chart Reports

Chapter 3: Python Notebooks

Azure SQL Server Configurations
Azure SQL Database Creation
Azure Firewall Rules and IP Address
Allow Azure Services, Remote Access
Connection Tests with SSMS Tool
Python Notebooks with Azure Databricks
Data Imports and Table Creations (Code)
Parquet Files and Usage in Databricks
Using Dataframes for Data Operations
SparkSQL Queries with SELECT, TOP
Establishing Connections to Azure SQL DB
JDBC Connection Strings, DataframeWriter
JDBC Properties, Port Settings & Options
Data Extraction, SQLContext & Dataframes
Pandas Data Frame for Big Data Analytics
JDBC URL Options & PySparkSQL Modules

Chapter 4: Open Data Sources, DeltaLakes

Creating Python Notebooks with Databricks
Spark Dataframes with Azure OpenDatasets
Windows Azure Storage Blob [wasb] Sources
Creating Dataframes & Temporary Views
Using Print and Display Functions with ADB
Big Data Analysis with BLOB Data & Charts
Keys, Values, Aggregations, Display Type
Databricks Notebooks, Jobs and Stages
Azure DeltaLake Implementation
ACID Properties and Upsert Advantages
Delta Engine Optimizations & Uses
Pipeline Creation with JSON Files in DBFS
Delta Tables Creation, Data Loads
Spark Cluster Settings: Auto Optimize
Auto Compact and Delta Table Optimize
Delta Locations; Data Retrieval, Versions

Chapter 5: Databricks Security & Jobs

Azure Databricks Security Operations
Azure Active Directory (Azure AD)
AD Users and RBAC with IAM
Owner, Contributor & Reader Roles
Workspace Admin Permissions
Notebook Permissions and Share Options
Shared Notebooks, User Access Options
Notebook Operations: Clone & Export
Databricks Jobs: Creation Options, Usage
Job Limits, Workspace, Concurrency Limits
Notebooks with and without Parameters
Jobs with Default Parameters, Executions
Interactive, Automated Clusters for Jobs
Job Schedules and Manual Executions
Active Jobs, Recently Run Jobs, Monitoring
ADB Jobs with Azure OData Sources, BLOB

Chapter 6: Databricks @ BLOB, Power BI

BLOB Data Access with Databricks
Accessing Storage Account, Container
Gerate, Use SAS: Shared Access Signature
dbutils.fs.mount() with DBFS Store
fs.azure.sas.container.strorageaccount
spark.read() and DBFS Mounts
Scala Transformations, Create Temp View
Spark SQL Queries with Temp Views
dataframe.write.jdbc() & JVM Properties
spark.read.jdbc() with Azure SQL DB
Power BI Integration with Databricks
Server Host Name, Port and Http Path
Cluster Configurations and JDBC
User Access Token Generation, Usage
Spark ClusterAccess, Power BI Analytics

Chapter 7: Databricks Integrations

Azure Databricks with Data Lake Storage
Handling Unstructured Data in Azure
Data Preparation and Staging Operations
Azure App (Service Principal) Registration
Azure Key Vault Creation & Key Usage
Service Principal Permissions @ Data Loads
Tenants and Authorization Settings
Client Credentials, Token Provider Options
Spark Notebooks For Dynamic Connections
Parameterized Options & Blob Access
Data Preparation & Big Data Ingestion
Data Extraction and ADLS Storage
show(), transformations, wasbs Options
Azure SQL Server & Synapse Creations
Data Loads with Incremental Changes

ADF Integration, Real-time Project
Azure Databricks Integrations with ADF
Defining Scala Notebooks in ADB
Using Notebooks in Azure Data Factory
spark.conf.set & fs.azure.account.key
spark.read.format, Option() and Head()
Online Retail Database Data Source
Azure Migrations and ETL Concepts
Azure SQL Pool (Synapse DWH) Tables
Apache Spark Pool : Databases, Tables
Azure Data Lake Storage (ADLS Gen 2)
Azure Stream Analytics Jobs with IoT
Azure Data Bricks and DBFS, Notebooks
Concept wise FAQs, Resume Guidance
Project Requirement, Solution, FAQs
DP 203 Certification Guidance

Module 4: Microsoft Fabric Training 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

Azure BI Training Plans

	Plan A 1. Azure Data Engineer 2. Power BI	Plan B 1. Azure Data Engineer 2. Power BI 3. Microsoft Fabric	Plan C 1. SQL Server 2. Azure Data Engineer 3. Power BI 4. Microsoft Fabric
Total Duration	11 Weeks	15 Weeks	18 Weeks
Power BI: Report Design, Visuals	✔	✔	✔
Power BI: M Lang, DX for ETL	✔	✔	✔
Power BI: Report Server, Admin	✔	✔	✔
ADF : Azure Data Factory	✔	✔	✔
ADF : Data Imports, ETL	✔	✔	✔
ADF : Data Flows, Wrangling	✔	✔	✔
ADF : Transformations, ETL	✔	✔	✔
Synapse: Configuration, Loads	✔	✔	✔
Synapse: ETL with ADF, DWH	✔	✔	✔
Synapse: Performance Tuning	✔	✔	✔
Synapse: MPP, cDWH, DIUs	✔	✔	✔
ADB : Azure Data Bricks	✔	✔	✔
ADB : Architecture, Data Loads	✔	✔	✔
ADB : Workspace, Delta Tables	✔	✔	✔
Storage : Storage & Containers	✔	✔	✔
Storage: BLOB Imports	✔	✔	✔
Storage: Security	✔	✔	✔
DP 500 [ADE + Power BI]	✔	✔	✔
Need for Microsoft Fabric?	✖	✔	✔
Fabric Terminology	✖	✔	✔
SaaS Implementations	✖	✔	✔
Synapse Engineering	✖	✔	✔
Lake House	✖	✔	✔
Dataset Discovery	✖	✔	✔
SQL: Database Basics, T-SQL	✖	✖	✔
SQL : Constraints, Joins, Queries	✖	✖	✔
T-SQL : Queries, SProcs, Lock Hints	✖	✖	✔
SQL: Views, Group By, Self Joins	✖	✖	✔
Total Course Fee*	INR 37000USD 465	INR 59000USD 725	INR 64000USD 810

SQL Server & T-SQL Schedules

S No	Time (IST, Mon - Fri)	Start Date	Trainer	Register
1	6 AM - 7 AM	Dec 16th	Mr. Sai Phanindra	Register
2	9 AM - 10 AM	Nov 25th	Mr. Sai Phanindra	Register
3	10:30 AM - 11:30 AM	Dec 10th	Mr. Sai Phanindra	Register
4	8 PM - 9 PM	Dec 2nd	Mr. Sai Phanindra	Register

Power BI Training Schedules

S No	Time (IST, Mon - Fri)	Start Date	Trainer	Register
1	8 AM - 9 AM	Nov 25th	Mr. Sai Phanindra	Register
2	7 PM - 8 PM	Dec 10th	Mr. Sai Phanindra	Register

CURRICULUM

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 8+ Years online as inhouse
Real-time projects in
- Healthcare
- Banking
- Insurance
- Retail Sales
- Telecom
- ECommerce

I registered for the Demo but did not get any response?

Make sure you provide all the required information. Upon Approval, you should be receiving an email containing the information on how to join for the demo session. Approval process usually takes minutes to few hours. Please do monitor your spam emails also.

Why you need our Contact Number and Full Name for Demo/Training Registration?

This is to make sure we are connected to the authenticated / trusted attendees as we need to share our Bank Details / Other Payment Information once you are happy with our Training Procedure and demo session. Your contact information is maintained completely confidential as per our Privacy Policy. Payment Receipt(s) and Course Completion Certificate(s) would be furnished with the same details.

What is the Training Registration & Confirmation Process?

Upon submitting demo registration form and attending LIVE demo session, we need to receive your email confirmation on joining for the training. Only then, payment details would be sent and slot would be allocated subject to availability of seats. We have the required tools for ensuring interactivity and quality of our services.

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 EIGHT 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 aftrer 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

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

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