SQL School

Official Learning Partner

Course Highlights

This Azure SQL DBA Online Training from Real-time, Certified Trainers includes Basic to Advanced Database Administration activities : Capacity Planning, Query Tuning, Index Management, Database Maintenance, High Availability (HA), Disaster Recovery (DR), Query Store, In-Memory Tables, Database Repairs, Page Repairs, Jobs, Alerts, Resource Management and Security Management.

This SQL DBA Online Training also practical implementation of Always-On Availability Groups [AOAG] in Windows Clusters as well as in LINUX Clusters. Additionally, this SQL DBA Training Course extents to Microsoft (Cloud) SQL Azure Migrations, Geo Replication, Azure DB Sync, Azure Database Tuning and Security Management. Study Material, MCSA SQL DBA Certification (DP 300) with Real-time Projects for your Resume as also a part of this SQL DBA Training Course. Versions: SQL Server 2014, 2016, 2017 and 2019.

Training Highlights:

In-depth Tuning
HA – DR Issues
Azure Migrations
XEL Graphs
DAC, PBM
Stretch Databases
DB Migrations
Licensing Plans
Azure HA – DR
In-Memory Tables
DMA Tool
POCs, RCA

Ticketing Tool
Tuning Tools
Updates, Rollbacks
Always-On
SLA / OLA
Upgrades, Rollbacks
Lite Speed
Windows Clusters
Managed Instance
Realtime Errors
Linux (RHEL)
Virtual Machines

Capacity Planning
Power Shell
Service Startups
Shard Keys
BLOB Storage
Azure Storage Keys
DBA Checklists
Azure RM, eDTU
MCSA Guidance
Rebuilds, Repairs
Managed Instances
Foglight, Automations

Course Content

Azure SQL DBA Training
(with SQL Server) Contents:

Brochure Download Register Now

Course 1: SQL DBA Training Content For Plan B, C

Module I: SQL Server & T-SQL

Installation, Architecture, DB Basics

Ch 1: DATABASE INTRO & SQL DBA

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 DBA: Job Roles
Routine SQL DBA Activities in Realtime
Emergency SQL DBA Activities, Job Work
Maintenance SQL DBA Activities
SQL Server Components and Usage
Database Engine Component and OLTP
24 x 7 Online Lab for Remote DB Access
Software Installation Pre-Requisites

Ch 2: SQL SERVER INSTALLATIONS

System Configuration Checker Tool
Versions and Editions of SQL Server
SQL Server and SSMS Installation Plan
SQL Server Pre-requisites : S/W, H/W
SQL Server 2022 / 2019 Installation
SQL Server 2017 Installation
Instance Name and Server Features
Instances : Types and Properties
Default Instance, Named Instances
Port Numbers, Instance Differences
Service and Service Account Use
Authentication Modes and Logins
Windows Logins and SQL Logins
FileStream and Collation Properties

Ch 3: SSMS Tool, SQL BASICS – 1

SQL Server Management Studio
Local and Remote Connections
System Databases: Master and Model
MSDB, TempDB, Resource Databases
Creating Databases : Files [MDF, LDF]
Creating Tables in User Interface
Data Insertion & Storage. Limitations
SQL : Purpose and Real-time Usage
SQL Versus T-SQL : Basic Differences
DDL, DML, SELECT, DCL and TCL
Creating Tables using SQL Scripts
Data Storage, Inserts – Basic Level
Table Data Verifications with Select
SELECT Statement for Table Retrieval

Ch 4: SQL BASICS – 2

Creating Databases & Tables in SSMS
Single Row Inserts, Multi Row Inserts
Rules for Data Insertion Statements
SELECT Statement @ Data Retrieval
SELECT with WHERE Conditions
Batch Concept and Go Statement
AND and OR Operators Usage
IN Operator and NOT IN Operator
Between, Not Between Operators
LIKE and NOT LIKE Operators
UPDATE Statement & Conditions
DELETE & TRUNCATE Statements
Logged and Non-Logged Operations
ADD, ALTER and DROP Columns

Ch 5: SQL Basics – 3, T-SQL 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 Retreival and 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 and 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 & LINKED SERVERS

JOINS – Table Comparisons Queries
INNER JOINS For Matching Data
OUTER JOINS For (non) Match Data
Left Outer Joins with Example Queries
Right Outer Joins with Example Queries
FULL Outer Joins – Realtime Scenarios
Join Queries with “ON” Conditions
CROSS JOIN and CROSS APPLY
One-way, Two way Data Comparisons
Linked Servers Configurations
Linked Servers: RPC Settings & Tests
Linked Servers, Remote Joins in TSQL
Multi Server Connections, DB Access
2 Part, 3 Part, 4 Part Name Conventions

Ch 8: VIEW, SPs, FUNCTIONS BASICS

Database Objects: Overview & Usage
Views: Types, Usage in Real-time
System Predefined Views and Audits
Listing Databases, Tables, Schemas
Functions: Types, Usage in Real-time
System Predefined Functions, Audits
DBId, DBName, ObjectID, ObjectName
Using Parameters in SQL Server
Dynamic Joins for Database Audits
Procedures: Types, Usage in Real-time
User & System Predefined Procedures
Parameters and Dynamic SQL Queries
Sp_help, Sp_helpdb and sp_helptext
sp_pkeys, sp_rename and sp_help

Ch 9: 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
Open Transaction Scenarios & Cause
Query Blocking Scenarios @ Real-time
NOLOCK and READPAST Lock Hints

Ch 10: DB Architecture & Group By

Database Architecture: Data Files
Database Architecture: Log Files
Primary and Secondary Data Files
Log Files Creation and Realtime Use
Creating and Using Filegroups
Linking Tables with Filegroups
Scripting Database and Objects
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, Audits

Module II: Basic SQL DBA

Backup-Restores, Jobs, Performance Tuning, Security

Ch 11: BACKUPS & MANAGEMENT

Database Backups, Filegroup Backups
Log File Backups and Log Truncations
COPY_ONLY Backups and Real-time Use
Mirror Backups and Split Backups
Partial Backups – ReadOnly Filegroups
Format, Compression and Checksum
Backup Verification, RetainDays, Stats
ContinueOnError and Backup Scripts
GUI and Script Backups: Differences
Backup History Tables in MSDB – Joins
Backup Audits. HOT and COLD Backups
Backup Devices – Creation and Usage
Using Backup Devices – Advantages
Common Backups Errors, Solutions

Ch 12: RESTORES & DB RECOVERY

Restore Phases – COPY, REDO, UNDO
RECOVERY, NORECOVERY Options
STANDBY and REPLACE in Restores
File, File Group & Metadata Restores
Backup Verifications using GUI, Scripts
VERIFYONLY : Backup Verification
STATS, UNLOAD, STOPAT and INIT
PARTIAL / PIECEMEAL Restores – Use
Tail Log Backup Usage in Real-time
Restores using GUI and T-SQL Scripts
MOVE Options for File Level Restores
Point-In-Time Restore, Checkpoint LSN
Standby Restores and Read-Only State
Common Backups Errors,Solutions

Ch 13: JOBS, MAINTENENCE PLANS

SQL Server Agent Service & Agent XPs
SQL Agent Jobs – GUI, Script Creations
Job Steps – Creation, Edits and Parse
Job Executions, Disable/Enable Options
Job History Purge. Job Activity Monitor
Database Maintenance – Backup Jobs
Scheduling Database Maintenance Plans
Backup Cleanup & History Cleanup Jobs
Backup Strategies For Minimal Data Loss
Backup Options: Block & Transfer Size
DB Mail Configurations and Alert System
DB Mail Profiles, SMTP Email Accounts
Operators : Creation and Real-time Use
Linking Jobs with Operators, Notifications

Ch 14: RECOVERY, DB SNAPSHOTS

Database Recovery Models, Logging
Database Log File Architecture
Full Recovery Mode, Real-time Usage
Simple Recovery Mode, Real-time Use
Bulk Logged Recovery Model, Imports
Recovery Models & Selectivity
Limitations with Simple Recovery Model
Database Snapshots : Creation, Use
Creating & Testing DB Snapshots
Read and Write Operations
Querying Database Snapshots
DB Snapshots: Page Versioning
Database Snapshots: Realtime Use
Comparing DB Backups & Snapshots

Ch 15: SECURITY MANAGEMENT

Authentication Types & Modifications
Windows Logins : Creation and Usage
SQL Server Logins : Creation, Usage
Password Policies; User Creations
Logins – Users Mapping, DB Access
Server Roles & Database Roles – Usage
Password Resets & Security Policies
Server Logs – Security Management
Log Archives: Login Failure Errors
Object Security and Column Security
Schema Security and Built-In Schemas
GRANT, WITH GRANT, DENY, REVOKE
CONTROL, OWNERSHIP, Authorization
Execute, References, View Definition

Ch 16: DATABASE MIGRATIONS

Creating Credentials @ Server Security
Creating Proxies & Agent Security
Linking Credentials and Proxies
Scritping Credentials, Proxies
Realtime Usage of Proxies
Using Proxies for DB Migrations
CDW: Copy Database Wizard @ SSMS
Database Detach and Attach Options
SMO Method and Database Scripting
CDW SSIS Packages, SSIS Proxies Use
Scheduling Database Migration Jobs
Detecting and Resolving Orphan Users
Containment Databases Authentication
SSMS Connections & Containment

Ch 17: SERVER ARCHITECTURE, AUDITS

SQL Server Architecture : Protocols
Named Pipes, TCP IP; Storage Engine
Query Processor: Parser, Optimizer
File Manager and Database Files
Transaction Services, Buffer Manager
CLR, WAL, Lazy Writer, Checkpoint
Lock Manager, IO Manager, MDAC
Audit Long Running Queries : DMV, DMF
Activity Monitor Tool, Server Dashboards
Logical I/O, Physical I/O, Database I/O
Recent Expensive Queries, Wait Time
Active Expensive Queries, Statistics
Plan Handle, Execution Time – Audits
CPU, IO, Memory Consumption Reports

Ch 18: PAGE ARCHITECTURE, INDEXES

Database Data Files and Pages
Data Pages, Mixed / Uniform Extents
Database Log Files and Pages
Virtual Log Files (VLF) and LSN
MINI LSN and Log File Usage Report
Database Files : Size and Location
Indexes: Architecture and Index Types
B Tree Structure, IAM Page [Root]
Clustered & NonClustered Indexes
Included, Columnstore, Online
Filtered, Covering, Indexed Views
Fill Factor and Pad Index Options
Query Store – Settings and Advantages
Database Properties & Query Store

Ch 19: TUNING: INDEX MANAGEMENT

PARTITIONS : Advantages, Performance
Table Partitions : Creation & Advantages
Partition Functions & Partition Schemes
Partitioning Un-partitioned Tables: GUI
Verifying / Auditting Partitioned Tables
Partition Compression: ROW and PAGE
Auditing Table Partitioned Structures
Statistics: Real-time Use, Performance
Statistics: Manual & Auto Creations
Internal and External Fragmentation
Index Rebuilding Process and Audits
Database Maintenance Plans Jobs
Last Used, Page Count, Fragmentation
Index Page Count, Degree Of Parallelism

Ch 20: TUNING TOOLS, EXEC PLANS

Tuning Tools: Workload Files, .trc Files
Profiler Tuning Template, SP Events
DTA, Profiler Trace : Recommendations
PDS: Physical Design Structures
Index, Stats, Partition Recommendations
DTA with Query Execution Cache
Perfmon Tool : Usage, Permon Counters
Real-time Tracking: CPU, Memory, IO
Execution Plan Analysis and Internals
Query Costs: IO Cost and CPU Cost
Query Costs: SubTree & Operator Cost
NUMA Nodes, Processor, IO Affinity
Thread Count, Degree of Parallelism
Stored Procedure Recompilations

Module III: Advanced SQL DBA

HA-DR, Errors & Solutions, Always-On, SLA

Ch 21: REPLICATION For HA – Level 1

Replication Architecture and Topology
Publication Types – Purpose, Importance
DB Articles, Publications, Subscriptions
Distributor and Distribution Database
Replication Topologies and HA DR Plan
Replication Jobs: Types and Usage
One Way and Two Way Replication
PUSH and PULL Subscriptions
Snapshot Publication: Creation, Filters
Snapshot Replication and Repl Agents
Log Reader Agent – Configuration, Keys
Transactional Replication Configuration
Security Options with Log Reader Agent
Replication Monitor – Tracer Tokens
Replication Monitor – Warnings, Alerts

Ch 22: REPLICATION For HA – Level 2

Merge Replication and Merge Agent Job
Replication Conflicts and ROWGUIDCOL
Subscription Reinitialization & Expiry
Server Subscription & Client Subscription
Scripting Snapshot Replication
Scripting Transactional Replication
Limitations with Traditional Replication
Peer – Peer Replication : Realtime Usage
Configure Peer-Peer Replication
Multi Master Replications & Node IDs
Peer-Peer Replication Connections
Replication Conflicts and Priority Settings
Disabling, Cleaning Replication Topology
Replication: Load Balancing Topologies
Common Replication Errors, Solutions

Ch 23: LOG SHIPPING (HA – DR)

Log Shipping Topology for HA and DR
Primary and Secondary: Recovery Plan
Log Shipping Monitor, Jobs and Alerts
NORECOVERY Mode – Configuration
STANDBY Mode Configuration & Jobs
Log Shipping Jobs and Manual Failover
Log Shipping Mode Changes – cautions
Re-Restoring Log Backups for Recovery
LSBackup, LSCopy & LSRestore Jobs
LS Job Audits, Dashboards (Reports)
TUF Files and Standby Options in LS
Broken Log Shipping Chains & Issues
Comparing Replication Vs Log Shipping
Limitations of Log Shipping For HA DR
Log Shipping Errors and Solutions

Ch 24: DB MIRRORING (HA – DR)

DB Mirroring Architecture For HA & DR
Log Shipping Versus Database Mirroring
TCP Endpoints, TCP Network Security
Heartbeat and Polling Concepts in DM
Automatic Fail-Over Procedures, Tests
PARTNER OFFLINE Conditions, Options
DB Mirroring Monitors and Commit Loads
SYNCHRONOUS & ASYNCHRONOUS
DB Mirroring and Port Configurations
Mirroring Monitor, Stop/Resume Options
Need for Always-On & Higher Availability
DB Recovery without Witness. Failover
Mirroring Monitor Jobs – Real-time Usage
Database Mirroring Advantages
Common Mirroring Errors, Solutions

Ch 25: HEALTH CHECKS & ERRORS

Alerts : Creation and Notifications
DB Suspect Event Alerts (023)
Important Perfmon Counters, Alerts
Log Space, Memory, Tempdb Alerts
DBCC CHECKDB : DB Health Checks
Allocation Errors, Consistency Errors
DBCC ShowContig, Fragmentation
Trace Flags and EstimateOnly
DBCC Page: GAM, SGAM and PFS
Consistency Errors : Cause & Solutions
Allocation Errors : Cause and Solutions
Log Space Issues and Log Rebuilds
Memory & TempDB Issues, Solutions
DBCC ShrinkDB and Page Restores

Ch 26: LOCK MANAGEMENT

LOCKS : Types and Isolation Levels
S, X, IX,U, MD, Sch-M and Sch-S
Lock Audits : SP_WHO2 & SP_LOCK
sysprocesses and Lock Waits : Audits
Open Transactions, Query Blocking
Lock Hints and Isolation Levels
Read Committed, Read Uncommitted
Serializable and Repeatable Read
Snapshot Isolation, Page Versioning
Read Committed Snapshot Row Version
Choosing Correct Isolation Level
Profiler Tool and Lock Templates
Profiler Filters, Column Selections
Deadlock Audits and Deadlock Graphs

Ch 27: PATCHES, UPGRADES, CUs

Establishing Downtime For Maintenance
Precautions for Maintenance Activities
DB Backups, Scripting and Services
Service Packs and Patch/Hotfix Activities
Cumulative Updates (CU), Hotfix Process
Verifications, Smoke Test and Rollbacks
Multi Instance Updates & Port Changes
SERVER Upgrades & VERSION Changes
Silent Installation & Installation Repairs
Verifications, Smoke Test and Rollbacks
System Database REBUILDs using CMD
Silent Installation & Installation Repairs
SQLCMD Tool and Instance Connections
DAC : Dedicated Administration Console

Ch 28: SLA, OLA PROCESS FOR DBA

SLA and OLA Process, Ticketing Tools
Realtime Job Environment: SLA
Ticketing and Process; KB Articles
Immediate, High, Normal Priorities
Impact, Urgency and SLA Metrics
Licensing and Pricing Options
Core Based Licenses. Device CALs
User CALs and Multiplexing Concept
Versions, Editions Comparisons
Edition Upgrades & Precuations
Command Line Installations
Version Checks & Edition Checks
Build Numbers, Server Configurations
Client Protocols, Ports & Server Aliases

Ch 29: SQL DBA PROJECT – Level 1

Audit Login Failures : Server Logs
Monitoring Connectivity Issues
Database Refresh and MSDTC
Adhoc Memory Dump Files
PLE (Page Life Expectancy) Issues
Object Refresh and Recompilations
Server Registrations and Operations
Lock Monitoring Operations
Index Management Options
Open Transactions, Blocking
Metadata Sync-up Issues
Stored Procedure Recompilations
Backup and HA-DR Strategies
Db Restores and DB Repairs
Health Checks, Issues, Solutions

Ch 30: SQL DBA PROJECT – Level 2

Server Down Issues and Solutions
Database Down Issues and Solutions
Data Missing Issues and Solutions
Hot CPU and Resource Allocations
Port Level Issues and Solutions
Online & Offline Backups, Certificates
Ticketing Tools : SLA & OLA Concepts
Incident Management and Ticketing
Immediate, High and Medium Priority
Levels of Support for Production DBA
3rd Party Tools and Real-time Use
Automated Backups, Log File Readers
Licensing and Pricing Options, CALs
Device CALs and User CALs
Multiplexing with Server Licenses

Course 2: Azure DBA Training ContentFor Plan A, B, C

Ch 31: CLOUD INTRO, AZURE CONFIG

Introduction to Cloud & Advantages
Cloud Architecture: IaaS, PasS and SaaS
Microsoft Cloud Advantages, Azure
Azure Products and SQL Services
Database Implementations in Azure
Comparing PaaS & IaaS Implmentations
Paas Implementations For SQL Server
IaaS Implementations For SQL Server
Logical, Virtual Machine, Azure MI
Installing SSMS and Azure Data Studio
Azure Account and Free Subscription
Azure Resources: Resource Groups
Azure Active Directory: User & Groups
Azure Active Directory Authentication

Ch 32: AZURE SQL SERVER CONFIG

Installing SSMS and Azure Data Studio
Azure Account and Free Subscriptions
Azure SQL Server (Logical Server)
Azure SQL Server Logical Server Firewall
Firewall Rules – IP for Remote Access
Server Properties and Status Format
Password Resets in Azure SQL Server
Azure SQL Databases & Pricing Tiers
Azure SQL Database Access from SSMS
Elastic Scaling with Azure Databases
General Purpose and Business Critical
Basic, Standard and Premium Plans
vCore Based Purchasing : Gen 4, Gen 5
Resource Groups For Azure SQL Server

Ch 33: ELASTIC DTUs, MIGRATION

Azure Storage: Creation & Containers
LRS, GRS, RA-GRS Storage Accounts
Storage Containers, Explorer Tool
Data and Database Migration in Azure
Data Migration Assistant (DMA) Tool
DB Migrations To Azure SQL Databases
Database Exports and Imports in Azure
Migration Scopes: Schema and Data
Schema Generation, Data Migration
Data Migration Verification, Row Count
DTU: Data Transaction Unit
Bounding Box Model, Elastic Pool
eDTUs, Elastic Pool. Per DB Settings
Performance Recommendations

Ch 34: AZURE SQL DATABASE TUNING

Azure SQL Server Level Tuning Options
Azure SQL Database Tuning Options
Automated Tuning and Peak-Loads
Force Plan, Create Index and Drop Index
Query Insight and Recommendations
IO Metrics, CPU & Query Statistics
Data File IO, Log File IO, Custom Reports
Query Audits with Query IDs, Dashboards
DTU Usage Reports and Elastic Queries
Query Recommendations, Query Costs
Azure Search Service and Pricing Tiers
Suggester and Analyzer Modes for Tuning
Retrievable, Facetable, Facetable Indexes
Change Tracking & Watermark Columns

Ch 35: ALERTS, BACKUPS / RESTORES

Azure SQL Server Activity Log and Options
Events, Operations and Event Categories
Quick Insights from Events and Filters
Events Exports to Event Hub, Log Analytics
Log Analytics Workspace, Alert Rules
Email / SMS Notifications and Schedules
Log Analytics Settings and Azure Storage
Activity Logs and Audit Reports, Insights
Azure SaaS Notifications System Options
Automated Backups in Azure SQL DBs
Long Term, Automated Backup Retentions
Backups – Retentions, Audits. LTR Policy
Restore Points and Database Recovery
Geo-Redundant Backups and Restores

DP 300 – Exam Samples, Guidance

Ch 36: HA-DR : GE REPLICATION, SYNC

Failover Groups, Active Geo-Replication
Read-Write Policy & Automated Failover
Geo Replication Configuration in Azure
Primary-Secondary and Read / Write
GeoReplication Monitor, Forced Failover
Azure Server Failover Process, Strategies
Automated, Manual and Forced Failover
Backup Errors, Geo Replication Errors
SQL Data Sync Service and Sync Groups
HUB, MEMBER and SYNC DATABASE
Sync Direction, Sync Schema & Interval
bi-directional Load Balancing and Failover
Conflict Resolutions with HUB, MEMBER
Cloud to Cloud, OnPremise Synchronizatio

Ch 37: SECURITY MANAGEMENT, RLS

Firewall & Virtual Network Configurations
Server Firewall, Database Firewall Rules
System Procedures for Firewall Settings
Logins, Users and Roles Permissions
GRANT, DENY, REVOKE, WITH GRANT
Role Level and Schema Level Security
Threat Detection,Transparent Encryption
Vulnerability Assessment, Data Masking
Implementing RLS – Row Level Security
SECURITY Schema for RLS Functions
Creating Security Predicates and Filters
Security Policies for Row Level Security
EXECUTE AS option & STATE for RLS
Dynamic Masking with Azure SQL DB

Ch 38: POWERSHELL, AZURE VMs

Azure Virtual Machines Deploy, Configure
Configure Windows Server, Redhat Linux
Azure Storage Blades and Pricing Options
Azure VM Settings, Access & DB Creation
On-Premise & Azure VMs: Similarities
SQL Server Instance, Agent in Azure VM
Azure SQL Database in VM to SQL Cloud
Azure SQL Database in VM to on-Prem
Deployment Automation Scripts in Azure
Azure Cloud Shell – PowerShellGet
Power Shell Scripts for Configurations
Power Shell Scripts for Job Schedules
Power Shell Scripts for Firewall, ARM
Azure CLI – Purpose, Real-time Use

Ch 39: WINDOWS CLUSTERS SETUP

Windows Clusters For HA and DR
Virtual Networks, Subnets and Ips
Availability Sets and Availability Zones
Fault Domains and Update Domains
DC Deployment & Configurations
Active Directory Domain Services
SAN [Storage Area Network] and LUN
DNS Server, DSRM and Private IP
Windows Level Clusters, MSCS Service
Active-Active, Active-Passive Clusters
DNS Tools, Actions & Adding AA Hosts
SQL Clustering Service & RAID Levels
SQL Cluster Groups, Domain Accounts
Quorum and MSDTC Disks. LUN Grows

Ch 40: ALWAYS-ON WITH SQL Server

SQL Server VMs and File Share Witness
Joining Machines to Domain Network
Install Accounts to Active Directory
Install Failover Cluster (FCI) Features
Firewall Configurations, Port Exceptions
FSW File Shares and Usability Options
Need for Always – On Availability (AAG)
Always On Availability Group [AOAG]
Multi-Database Replication Options
Backup Preferences, Automated Seeding
Synchronous and Asynchronous Modes
Data Synchronization for AOAG
AOAG Dashboards & Automated Failover
Need for Azure Managed Instances

Resume, Course Participation Certificate, Mock Interview

Course 3: ETL Admin Training Content [For Plans C]

Part 1: Azure Data Factory, Synapse Analytics

Chapter 1: Cloud Basics, Azure SQL

Cloud Introduction and Azure Basics
Azure Implementation: IaaS, PaaS, SaaS
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
Azure Account, Subscription (Free)
Azure SQL Server [Logical Server]
Firewall Rules and Azure Services
Azure SQL Database Deployment
Azure SQL Pool Deployment
Compute: DTU Versus DWU
Test Connections from SSMS

Chapter 2: Synapse SQL Pools (DWH)

Dedicated SQL Pools in Azure
Data Warehouse with Synapse
Massively Parallel Processing (MPP)
Control Nodes and Compute Nodes
DMS: Data Movement Service
Start/Resume/Pause & Scaling
SQL Pool Config @ TSQL Scripts
Start/Resume/Pause, Scaling Options
Table Creations @ TSQL Scripts
Table Partitions: Left & Right
Distributions: Round Robin, Hash
Distributions: Replicate and Usage
Auto Indexing & Column Store
Planning for Big Data Loads
Need for ADF: Azure Data Factory

Chapter 3: Azure Data Factory, Pipelines

Azure Data Factory (ADF) Concepts
ADF Pipelines : Architecture
Integration Runtime (IR) & Use
Linked Services and Datasets
Pipeline Activities: Copy Data Tool
DIU : Data Integration Units
DTU Vs DWUs Vs DIU
ADF Pipeline with Copy Data Tool
Azure SQL DB to Synapse Data Loads
Multi Tables Data Loads with ADF
Bulk Insert, Data Copy Methods
ETL Staging: Storage Account
Staging Container Connections
DIU Allocations & Publish
ETL Pipeline Monitoring, Runs

Chapter 4: OnPremise Data Loads, Upsert

Copy Data Tool : Incremental Loads
On-Premise Data Sources with Azure
Self Hosted Integration Runtime (IR)
Access Keys, Remote Linked Service
Synapse SQL Pool (DW), OnPremise
ETL Staging with Storage Account
Copy Method: Polybase – Tuning
Polybase : Big Data Loads
ETL Pipelines for Incremental Loads
Business Keys For Table Upsert
Pipeline Schedules with ADF
ETL Logging with Storage Account
Copy Method: UPSERT
DIU, DOCP & Publish
Manual Pipeline Executions in ADF

Chapter 5: File Incremental Loads in ADF

Incremental Loads with Files (BLOB)
ETL Schedules: Tumbling Window
Execution Retry and Delay Options
Binary Copy, Structural Data Loads
Incremental Loads Verification Tests
Incompatible Rows & Fault Tolerance
Pipeline Compression & Tuning
Pipeline Publish, Monitor Options
Azure Monitor Resource : Metrics
ADF Metrics and Pipeline Runs
ADF: Pipeline Monitoring and Alerts
Synapse: Storage Monitoring, Alerts
Conditions, Signal Rules and Metrics
Alerts & Action Groups: Emails
Email Notifications with Azure

Chapter 6: ADF Data Flow – 1

Data Flow Task, Data Flow Activity
Transformations with Data Flow
Spark Cluster For Debugging
Cluster Node Configurations
Spark Cluster Types & Sizing
Transaction Optimized – Capacity
Memory Optimized – Capacity
Data Cleansing with ADF
Data Orchestration with Data Flow
SELECT Transformation & Options
Conditional Split Transformation
UNION, SELECT Transformation
Spark Cluster For Pipeline Executions
Pipeline Monitoring & Run IDs
Adding Data Flow into Pipelines

Chapter 7: ADF Data Flow – 2

ADF Pipelines For ETL Operations
Data Flow Tasks, Activities in Synapse
JOIN & EXISTS Transformations
Aggregate & Group By Transformations
Window Functions, Rank in Data Flow
Rank / DenseRank / Row Number
Derived Column Transformation
Lookup, Surrogate Key, Parse
Type Convert, Cast Transformations
Reusing Data Flow Tasks in Synapse
Pipeline Validations & Executions
Inline Datasets, Schema Drift
Data Deduplication with ADF
DFT Optimization Techniques
Data Flow Task – Staging, Logging

Chapter 8: Azure Synapse Analytics

Azure Synapse Analytics Resource
Azure Synapse Analytics Workspace
Managed Resource Group, SQL Account
Synapse Workspace & Synapse Studio
Operations with Synapse Workspace
ADLS Gen 2 Storage Account, Container
Synapse Studio: Scripts & Pipelines
Dedicated SQL Pools : Creation, Use
Synapse Tables, Data Loads with TSQL
COPY INTO Statements with T-SQL
Row Terminator and Compressions
T-SQL Queries and Aggregations
Aggregation Data Loads in Synapse
Creating Synapse Pipelines with TSQL
Stored Procedure Activity & Triggers

Chapter 9: Synapse Analytics with Spark

Synapse Pipelines: Performance Advantage
Pivot Transformation For Normalization
Generate Pivot Column, Aggregations
Pivot Transformation & Pivot Setting
Pivot Key Selection, Value and Nulls
Pivoted Columns and Column Pattern
Column Prefix, Help Graphic, Metadata
Denormalized Data and Aggregations
Apache Spark Pool in Azure Synapse
Spark Cluster Nodes: Vcores, Memory
Notebooks : Purpose, Usage Options
Python Notebooks For Remote Access
Creating Databases in Apache Spark Pool
Data Loads from Dedicated SQL Pools
PySpark Code for Data Operations, Writes

Chapter 10: Synapse Security & Parameters

Azure Active Directory (AAD) Users, Groups
IAM: Identity & Access Management
Synapse Workspace Security with RBAC
ADF Security: RBAC, Owner, Contributor
Azure Synapse SQL Pool Security: Logins
Creating SQL Logins & Users : master
SQL Users in Azure SQL DB and SQL Pool
Grant, Control, Revoke: Security Roles
Parameters – Creation and Use in Pipelines
Dynamic Connections with Credentials
User Name and Password Connectivity
Dynamic Dataset Configurations
Pipeline Expressions with Parameters
Resource Classes and Usage with SQL Pool

Chapter 11: Change Data Capture (CDC)

Change Data Capture (CDC) Data Loads
Incremental Loads with CDC Types
SQL Server CDC : ETL Load Dates
Pipeline Expression, Data Window
JSON Parameters, Pipeline Scheduling
ETL Optimization Techniques
Serverless Pool in Azure Synapse
Connections, Use with Serverless Pool
Using Azure OpenDatasets in Synapse
OPENROWSET and BULK Data Loads
Working with Parquet Files in Synapse
Python Notebooks (Pyspark) in Synapse

Part 2: Data Lake Storage, Stream Analytics

Chapter 1: Azure Fundamentals – Storage

Azure Resources: Storage Components
Storage Resources and Properties
Resource Groups & Subscriptions
Azure Storage : Files, Tables and ETL
Azure Storage Account & Use
Data Lake Storage Account (ADLS)
Advanced Options: HNS Property
Resource Location, Resource Group
Azure Portal: Deployment Verifications
Azure Portal: Deployment Verification
Storage Account : Basic Properties
Overview Page: Status, HNS State
Azure Storage : Access Options
Azure Storage Explorer Tool
Explorer Tool : Configuration

Chapter 2: Azure Storage Operations

BLOB: Binary Large Objects
Storage Browser and Service Pages
Storage Browser: Container Creation
Storage Browser: Folder, File Uploads
Service Page: Container Creation
Service Page: Folder, File Uploads
Container, Folder, File Properties
Limitations with Storage Portal
Azure Data Explorer Tool : Usage
Contrainer: Creation, Properties
File Uploads, Edits and Access URLs
Azure Storage Explorer Tool Usage
Azure Account Options in Explorer
Directory Creation, File Operations
Limitations with Explorer Tool

Chapter 3: Azure Storage Security, ACLs

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

Chapter 4: SQL Database Migrations

OnPremise SQL DB to Azure Migration
SSMS Tool, SQL Database Installation
Source Database Scripts & Validations
BACPAC File Generation: SSMS Tool
Table Selection & Advanced Options
Azure Data Lake Storage, SSMS Access
Azure Storage Container, BACPAC Files
IAM and Account Key Authentication
Azure SQL Server Creation From Portal
Azure SQL Database Deployment
DTU : Data Transaction Units, Pricing
Azure Firewall Configuration, Security
Azure SQL Database Imports (bacpac)
Azure SQL Server with ADLS Containers
Azure SQL DB Migrations, Verification

Chapter 5: Azure Tables & Replication

Azure Tables – SchemaLess Design
Azure Tables: Creation, Data Inserts
Tables, Entities, Properties Concepts
Structured, Relational Data Storage
Azure Tables: GUI, Data Types
Azure Tables: Big Data Imports
Data Edits, Queries, Delete Operations
Odata Options (REST API), End Points
Azure Storage: Replications, DR Options
LRS: Locally Redundant Storage
GRS: Globally Redundant Storage
ZRS: Zone Redundant Storage
Replication Options and Advantages
Replication Verification, Modifications
Storage Endpoints, Failover Partner

Chapter 6: Azure Stream Analytics, IoT

Azure Stream Analytics Real-time Use
Real-time Data Processing, Events
Ingest, Deliver & Analysis Operations
Azure Stream Analytics Jobs Concept
Understanding Input, Output Options
SAQL Queries: Stream Analytics Jobs
IoT: Internet Of Things, Real-time Data
Need for IoT Hubs and Event Hubs
Conditional Split Transformation
Creating IoT Device for Data Inputs
Creating Azure Stream Analytics Job
Stream Analytics for Historical Data
Azure SQL Database for ASA Jobs
SAQL: Query Formatting, Validation
Historical Data Upload, ASA Jobs

Chapter 7: Azure 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
Output Aliases with ADLS Gen 2
SAQL Query, 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 : Executions & LIVE Data
On-Premise App Integration, ASA Jobs

Chapter 8: Storage Architecture, Queues

Azure Storage Account : Architecture
Etag: Replication & Encryption Use
BLOB Types: Block, Append & Page
Access Tiers: Hot, Cool, Cold Types
Archive Access Tier & Retention
Legal Hold & Time Bound Access
Pricing : HNS, Security, Encryption
EndPoint URL & Read-Only Use
Azure File Share Service (Files)
Mounting Files From On-Premise
SMB File Share : Hot, Optimized
Azure Queue Service & Messages
Message Queues : Operations
Storage Explorer Tool with Shares
Azure Storage Services: ETL Needs

Chapter 9: Monitoring & Key Vaults

Azure Monitor, Metrics & Activity 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
Azure Alerts & Conditions, Notifications
Signal Logic Conditions and Emails
Key Vaults Types: Standard & Premium
Secret Page, Key Backups, Key Restores
Azure Key Vaults – Name and Vault URI
Inbuilt Managed Key and Azure Key Vault
Key Vaults Types: Standard & Premium
Secret Page, Key Backups, Key Restores
Managed Identity with ETL Process

Real-time Project (End to End)

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)
Handling Unstructured Data in ADF
End to End Workflows, Automations

Azure Logic Apps: Automated Workflows
Visual Designer & Prebuild Templates
Server Less Integrations in Azure
Workflow, Triggers and Actions
Managed Connectors, Integrations
ARM Template : Deployments
ARM Templates : ADF, ADLS

ADLS with Spark Databases
Aggregations with Big Data Loads
Parameterized ETL Sources
Parameterization & Workflows
Python Notebooks to Scala
Azure SQL DB Connections
ARM Templates & JSON

Project Requirement
Project Solution, FAQs
Concept wise FAQs
Resume Guidance
Mock Interviews (1 to 1)
DP 203 Certification Guidance
DP 203 Sample Papers (Latest)

Part 3: Databricks, Spark, Python

Chapter 1: Azure Intro, Azure Databricks

Azure Cloud : SaaS, PaaS, PaaS & IaaS
Azure Cloud : Storage, ETL Resources
Azure Databricks : Compute Resources
Need for Azure Databricks (ADB)
Azure Databricks : Purpose & Config
Azure Databricks Service Creation
Azure Databricks Components
Azure Databricks Workspace, Usage
Spark Cluster Configurations, Capacity
Driver Nodes, Worker Nodes in Spark
Cluster Types : Personal, Unrestricted
CPU, Memory & IO Resources
Virtual Machines (VM) for Clusters
Databricks : Runtime & DBFS Storage
DBFS : Files, Tables with Spark DB

Chapter 2: SparkDatabase, SQL Notebooks

DBFS : File Uploads from ON-Premise
Creating Spark Tables; Spark DB
Data Explorer: HIVE Metastore
Data Explorer: Spark Database, Tables
Notebooks: SQL, Python and Scala
Creating SQL Notebooks in Databricks
Creating User Defined Spark Databases
Connecting / Using Spark Databases
Spark SQL : Big Data Loads
Spark SQL : Database & Table List
Spark SQL : Data Aggregations, Jobs
Spark SQL : Data Analytics, Reports
Analytics: X, Y Axis, Group By
Notebooks : Export, Import, Clone
Notebooks : Storage & Versions

Chapter 3: Python Intro, Data Loads

Python : Introduction, Real-time Use
Python For ETL and DWH
Python For Azure: Data Engineer
Python Data Frames & Purpose
Python Dataframes – Pandas
Python with Spark Integrations
PySpark for DDL and ETL
PySpark Versus SQL Notebooks
Reading DBFS Data into Spark
Creating Dataframes for ETL
Temporary Views & Dataframes
Spark Temp Views: Aggregations
Spark Table Loads, HIVE Data
write.format() & overwrite
Parquet Tables with Spark DB

Chapter 4: PySpark with ADLS

Azure Storage Account : Creation
Azure Data Lake Storage : HNS
Creating Containers in ADLS
BLOB File Uploads / Generation
Account Key : Access Key, SAS Key
BLOB Access URL for Databricks
WASBS URL for PySpark Notebook
Generating PySpark Script
PySpark Connection Variables
Databricks : Data Import Scripts
Config Options with ADLS, Spark
config (), Session Context
DataFrames with Temp Tables
Escape Sequence with SparkSQL
Data Explorer: HIVE & Spark DB

Chatper 5: PySpark Widgets

Widgets : Notebook Parameters
widget module : Text, Combo
Dropdown, Multi Select Parameters
dbutils help(), get() & remove()
Dataframes, Spark SQL @ Variables
Python Data Frames, Spark SQL
Reading Parameters Values
Parameters Versus Variables
Using Parameters For Temp Tables
Using Parameters for Spark Tables
Data Storage and HIVE Metastore
Reading Parameterized Data
Format Strings with PySpark
Dynamic Queries with Spark SQL
Aggregations and f Strings

Chapter 6: Architecture, Workflows

Driver Nodes, Worker Nodes, DBUs
RDD : Resilent Data Distribution
DAG : Directed Acyclic Graph
Hadoop HDES and Spot Instance
Cluster Manager, Master Node
RDDS, Worker, Excecutor & Slave
Hadoop HDES & Databricks Runtime
Databricks Optimization Techniques
Spot Instance, Photon Acceleration
All Purpose Cluster, Job Cluster
Databricks Jobs: Creation & Tasks
Jobs with Parameters, Executions
Task Dependency & Notifications
Continuous & Manual Schedules
Active Jobs, Recent Run Jobs, Monitor

Chapter 7: Databricks Security, Scala

Azure Databricks Security Operations
Azure Active Directory (Azure AD)
AD Users and RBAC with IAM
Owner, Contributor & Reader Roles
Workspace Admin Permissions
Notebook Permissions & Share
Workflow Security, HTTP Path
User Tokens & ServerName
Scala : Differences with PySpark
Scala : Variables Declaration, Usage
SparkSQL with Scala Notebooks
Temp Views with Scala Notebooks
Aggregations with Scala Notebooks
Visual Data Analytics with Scala
PySpark to Scala Conversions

Chapter 8: Scala with ADLS, Azure SQL

Data Imports with Azure SQL DB
Using Scala for Big Data Loads
Spark SQL Queries @ Temp Views
Variables, display(), read()
Scala Transformations, display()
JSON, AVRO and DBFS Mounts
azure.sas.container @ ADLS
write.jdbc() & JVM
JDBC Connection, DataframeWriter
Data Extraction, SQLContext
Spark Context and Spark Session
SQLServerDriver with Scala
ADLS with Scala Notebooks
Parameters (Widgets) with Scala
Compare Python with Scala

Chapter 9: DeltaLake Incr Loads, DWH

Azure DeltaLake Implementation
ACID Properties, Upsert Advantages
Delta Engine Optimizations & Uses
Pipeline Creation: JSON Files in DBFS
Delta Tables Creation, Data Loads
Spark Cluster Settings: Auto Optimize
Auto Compact, Delta Table Optimize
JSON Files, Delta Streaming Location
Joins and Merge with Delta Tables
Incremental Loads, Delta Tables
Create & Use DWH with Databricks
Upsert (Merge) with Spark Tables
Big Data & Jupyter Notebooks
Databricks with Data Factory (ADF)
End to End Implementations

Azure Data Engineering with Power BI (For Power BI Registrations)

Power BI with Synapse SQL Pool
Power BI with Synapse Analytics
Get Data: Storage Modes
Direct Query, Performance Inspector
Aggregated Data Analytics
Data Gateways : Auto Refresh

Power BI with ADLS : Record Query
Power BI with ADLS : BLOB Data
Power BI with Spark DB : JDBC
Power BI with Spark DB : User Tken
Power BI with Spark DB : LIVE Data
Power BI with Spark DB : Refresh

Azure Purview : Data Governance
Unified SaaS for Multi Cloud
Data Mapping and Resilence
Automated Data Discovery
Sensitive Data Labels : SQL Server
Interactive Data Lineage

Trusted Data Discovery in Azure
Confidential Data & Trust
DataCatalog, Data Estate Insights
Azure Key Vaults, ADLS Security
Azure Passwords, Keys, Certificates
Azure Key Vaults – Name, Vault URI
Managed Key & ETL Connections

Azure SQL DBA Training Plans

	Plan A 1. Azure DBA	Plan B 1. Core DBA + 2. Azure DBA	Plan C 1. Core DBA + 2. Azure DBA + 3. ETL Admin
Course Contents	Ch 31 to Ch 40	Ch 1 to Ch 40	Ch 1 to Ch 58
Azure SQL Database Migration	✔	✔	✔
Azure SQL DB Security, HA-DR	✔	✔	✔
Azure Always-On, PowerShell	✔	✔	✔
Azure Virtual Machines (VM)	✔	✔	✔
DP 300 Exam : Guidance	✔	✔	✔
Routine SQL DBA Activities	✖	✔	✔
HA-DR : Replication, Log Shipping	✖	✔	✔
SQL Server, DB Maintenance	✖	✔	✔
DB Repairs, Security Management	✖	✔	✔
Migrations, Patches, Upgrades	✖	✔	✔
HA-DR : Replication, Log Shipping	✖	✔	✔
HA-DR : Mirroring, Common Errors	✖	✔	✔
Clustering, Always-On Availability	✖	✔	✔
Tuning Tools, Execution Plans	✖	✔	✔
Ticketing Tools, 3rd Party Tools	✖	✔	✔
SLA-OLA, Incident Management	✖	✔	✔
ETL Admin	✖	✖	✔
ADE: Azure Data Factory [ADF]	✖	✖	✔
ADE: Azure Synapse	✖	✖	✔
ADE: Azure Storage	✖	✖	✔
ADE: Stream Analytics & Azure Databricks	✖	✖	✔
Total Course Fee* ( Payable in Installments)*	INR 9000USD 100	INR 28000USD 350	INR 50000USD 600

Schedules for Azure DBA [Chapters 31 to 40]

S No	Time (IST, Sat & Sun)	Start Date	Register
1	6:30 AM - 8 AM (W)	Oct 5th	Register

Schedules for SQL DBA [Chapters 1 to 30]

S No	Time (IST, Mon - Fri)	Start Date	Trainer	Register
1	6 AM - 7 AM	Nov 11th	Mr. Sai Phanindra	Register
2	10 AM - 11 AM	Nov 5th	Mr. Sai Phanindra	Register
3	8 PM - 10 PM	Dec 1st Week	Mr. Sai Phanindra	Register

CURRICULUM

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Mr. Sai Phanindra

19+ Years of Expertise, Love & Dedication

Microsoft SQL Server, Azure Data Engineer, Power BI, SQL DBA & Python

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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
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Please Note: Slot Confirmation Subject to Availability Of Seats.

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

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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™

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