SQL DBA Video Training (On-demand, 24 x 7)

This SQL DBA Video Training from Real-time, Certified Trainers includes Basic to Advanced Database Administration activities : Capacity Planning, Query Tuning, Index Management, DB Maintenance, High Availability (HA), Disaster Recovery (DR), Query Store, In-Memory Tables, Database Repairs, Page Repairs, Jobs, Alerts, Resource Management, Security Management, Upgrades. Additionally includes Azure SQL DBA Activities including Azure Active Directory, Azure SQL DB Migrations, Azure SQL DB Tuning, XEL, Azure DB Sync, Server Failover, Geo Replication, Azure Virtual Machines and Azure HA-DR.

This SQL DBA Video Training also includes practical implementation of Always-On Availability Groups [AOAG] in Windows Clusters, LINUX Clusters and Real-time Azure SQL DBA activities. Additionally, this SQL DBA Training Course includes complete guidance for your Job Profile, Study Material, MCSA SQL DBA Certification (DP 300) and Real-time Projects for your Resume. Versions: SQL Server 2016, 2017 and 2019. Download SQL DBA Curriculum Here

SQL DBA (with Server, T-SQL, Azure SQL DBA)

SQL DBA Job Profile Core DBA Core DBA +
Azure DBA 
Core DBA +
Azure DBA +
ETL Admin
Course Contents Ch 1 to Ch 30 Ch 21 to Ch 40 Ch 1 to Ch 68
Completely Practical, Real-time
Routine SQL DBA Activities
Emergency SQL DBA Activities
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
Azure SQL Database Migration
Azure SQL DB Security, HA-DR
Azure Always-On, PowerShell
Azure Virtual Machines (VM)
DP 300 Exam : Guidance
ETL Admin
ADE: Azure Data Factory [ADF]
ADE: Azure Synapse
ADE: Azure Storage
ADE: Stream Analytics
ADE: Azure Databricks
Total Course Fee
( Payable in Installments)
INR 20000
USD 300
INR 28000
USD 400
INR 50000
USD 630

Trainer : Mr. Sai Phanindra T  


✔ 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
✔ Capacity Planning ✔ Power Shell
✔ DBA Checklists ✔ Azure RM, eDTU

All Trainings are completely Practical and Real-Time. Curriculum Download

SQL DBA Training (with Server, Azure DBA) Course Contents:

Module I: SQL Server & T-SQL

Installation, Architecture, DB Basics

Module II: Basic SQL DBA

Backup-Restores, Jobs, Performance Tuning, Security

Module III: Advanced SQL DBA

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


  • Introduction to Databases, DBMS
  • Microsoft SQL Server : Advantages, Use
  • Versions and Editions of SQL Server
  • SQL DBA Job Roles, Responsibilities
  • Routine Maintenance DBA Activities
  • Emergency SQL DBA Activities
  • SQL Server Pre-requisites : S/W, H/W
  • SQL Server 2019/2017/2016 Installation
  • Default Instance, Named Instances
  • Port Numbers, Instance Differences
  • Service and Service Account Use
  • Authentication Modes and Logins
  • Firewall Configuration in Real-time
  • SQLServr.exe and SQLBrowser.exe

Ch 10: BACKUPS - DB, Filegroup, File

  • 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 Errors and Solutions

Ch 19: REPLICATION For HA - Level 1

  • Replication Architecture and Topology
  • Publication Types - Purpose, Importance
  • DB Articles, Publications, Subscriptions
  • Distribution DB Configuration, Snapshots
  • Snapshot Replication and Repl Agents
  • Adding Articles to Existing (LIVE) Replica
  • PUSH, PULL Subscriptions. N/W Shares
  • Transactional Replication Configuration
  • Log Reader Agent - Configuration, Keys
  • Replication Monitor - Tracer Tokens
  • Replication Monitor - Warnings, Alerts
  • Replication Monitor - Usage and Options
  • Replication Scripts, Adding Articles
  • Replication Warnings and Agent Alerts

Ch 2: SSMS Tool, SQL BASICS - 1

  • SSMS Tool Installation, Connections
  • SQL Server Management Studio
  • Single Server, Multi Server Connections
  • System Databases: Master and Model
  • MSDB, TempDB, Resource Databases
  • SQL and T-SQL : Basic Differences
  • DDL, DML, SELECT Statements
  • Using GUI and SQL Scripts in SSMS
  • Creating Databases : Files [MDF, LDF]
  • Creating Tables in SQL Server
  • Data Storage in Tables : Inserts
  • SELECT : Data Retrieval Statement
  • Limitations with SSMS GUI Options


  • Restore Phases - COPY, REDO, UNDO
  • STANDBY and REPLACE in Restores
  • File, File Group & Metadata Restores
  • Backup Verifications using GUI, Scripts
  • VERIFYONLY : Backup Verification
  • 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 Errors and Solutions

Ch 20: REPLICATION For HA - Level 2

  • Merge Replication and Merge Agent Job
  • Replication Conflicts and ROWGUIDCOL
  • Subscription Reinitialization, Expiry Setting
  • Server Subscription & Client Subscription
  • Peer-Peer Replication Connections, Nodes
  • NodeID and Conflict Detection Options
  • Replication Conflicts and sp_MSRepl
  • sp_changedbowner, backup initialization
  • Replication Conflicts and Priority Settings
  • Replication Verify - Rowcount, Checksum
  • Disabling, Cleaning Replication Topology
  • Replication Strategies for HA and DR Plan
  • Replication for Load Balancing Topologies
  • Common Errors and Solutions

Ch 3: SQL BASICS For DBAs - 2

  • Creating Databases in SQL Server
  • Database Connections and Usage
  • Creating Tables and Data Storage
  • Data Inserts and SELECT Statement
  • WHERE Conditions and Keywords
  • 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
  • Table Structure Modifications
  • ADD, ALTER and DROP Columns
  • Aliases and Batch Statements


  • 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
  • Automated Job Creations using DMPs
  • Backup Cleanup & History Cleanup Jobs
  • Backup Strategies For Minimal Data Loss
  • Backup Options: Block Size, Transfer Size
  • DB Mail Configurations and Alert System
  • DB Mail Profiles, SMTP Email Accounts
  • Operators : Creation, Job Notifications


  • 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
  • Disconnections and Delay in Restores
  • 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
  • Common Errors and Solutions


  • 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
  • Session Level, Connection Level Use


  • Authentication Types & Modifications
  • Windows Logins & SQL Server Logins
  • Logins - Users Mapping, DB Access
  • Server Roles & Database Roles - Usage
  • Object, Column and Schema Security
  • CONTROL, OWNERSHIP, Authorization
  • Data Encryption: Keys and Certificates
  • Data Encryption with Stored Procedures
  • Job Security : Credentials and Proxies
  • Using Proxies for SSIS Jobs, Repl Jobs
  • Security Scripts and Documentation
  • DMVs for Security Audits, Orphan Users
  • Login, User, Server Principal Audits


  • 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
  • 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
  • Common Errors and Solutions


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


  • Database Migration Precautions
  • Migration Methods & Comparisons
  • CDW: Copy Database Wizard @ SSMS
  • Database Detach and Attach Options
  • SMO Method and Database Scripting
  • Creating and Using Credentials
  • Creating and Using Agent Proxies
  • SSIS Job Subsystem with Proxies
  • Copy Database Wizard: SSIS Packages
  • Scheduling Database Migration Jobs
  • Transfer of Logins & Server Objects
  • Detecting and Resolving Orphan Users
  • Containment Databases Authentication
  • Login Failure Audits & Server Logs

Ch 23: Health Checks, Issues, Solutions

  • 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, Extent 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


  • 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
  • Join Unrelated Tables in SQL Server
  • NULL, IS NULL Operators in Joins
  • One-way, Two Way Data Comparisons
  • Important Join Queries in T-SQL
  • Join Options: Merge, Loop, Hash

Ch 15: Tuning 1 - Audits, Indexes

  • 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
  • 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


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

Ch 7: View, Procedures, UDF Basics

  • Views : Types, Usage in Real-time
  • System Predefined Views and Audits
  • Listing Databases, Tables, Schemas
  • Functions : Types, Usage in Real-time
  • Scalar, Inline and Multi-Line Functions
  • System Predefined Functions, Audits
  • DBId, DBName, ObjectID, ObjectName
  • Date and Time Functions : Getdate()
  • Variables & Parameters in SQL Server
  • 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
  • sp_recompile, Perrformance Benefits
  • System Objects for Metadata Access

Ch 16: Tuning 2 - INDEX MANAGEMENT

  • PARTITIONS : Advantages, Performance
  • Partition Functions & Partition Schemes
  • Partitioning Un-partitioned Tables: GUI
  • Partition Compression : ROW and PAGE
  • Auditing Table Partitioned Structures
  • Statistics : Purpose, Auto Creation
  • Statistics : Audits and Updates
  • Working with Indexes and Partitions
  • Internal and External Fragmentation
  • Index Rebuilding Process and Audits
  • Database Maintenance Plans Jobs
  • Last Used, Page Count, Fragmentation
  • Index Page Count and Index Condition
  • Degree Of Parallelism [DOP] Settings
  • Resumable Indexes: ONLINE, RESUME
  • PAUSE & RESUME in Index Rebuilds


  • Always-On: Non-Clustered Environment
  • Multi Database Replication with AOAG
  • Synchronous and Asynchronous Modes
  • Policy Based Management for AOAG
  • Facets and Conditions for Policies
  • Backup Preferences, Location Options
  • Synchronization, Automated Seeding
  • Data Synchronization for AOAG
  • Port Settings, Backup Strategies: AAG
  • AOAG Verifications and Dashboards
  • Adding Availability Replica, Database
  • Adding Availability Listeners and DNS
  • Automated Failovers, Manual Failovers
  • Always-On Availability Groups Health
  • NonClustered Environment Limitations
  • Clustering with Always-On in Ch 37,38

Ch 8: 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
  • Auditing Triggers and Real World Use
  • 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 17: Tuning 3 - Tuning Tools

  • 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
  • Table Scan, Index Scan, Index Seek

Ch 26: 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 9: Server, DB Architecture

  • Server Architecture and Protocols
  • Database Engine and Query Processor
  • Parser, Optimizer, SQL & DB Manager
  • Storage Engine Components, SQL OS
  • File Manager and Database Files
  • Transaction Services, Buffer Manager
  • Lock Manager, IO Manager, MDAC
  • CLR, WAL, Lazy Writer, Checkpoint
  • Database Architecture - Data Files
  • Primary (mdf), Secondary Files (ndf)
  • Filegroups; File Size, Location
  • Pages, Extents. Uniform, Mixed Extents
  • Transaction Log File [LDF], LSN, VLF
  • Linked Servers and Remote DB Access
  • RPC, RPC Out and Remote Data Access

Ch 18: Tuning 4 - 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
  • XDL Files and Deadlocks Prevention

Ch 27: 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

Ch 28: Cloud Introduction & Azure

  • Azure Cloud Account Registration
  • Tenant ID and Account ID Concepts
  • Subscriptions: Types and Importance
  • Resource Providers: Types, Importance
  • Resources: Storage, ETL & Analytics, Apps
  • Resource Groups: Advantages and Usage
  • Introduction to Microsoft Cloud
  • Introduction to Azure Cloud; Advantages
  • Azure Cloud Benefits and Pricing
  • Shared Responsibility Model
  • Cloud Computing Options with Azure
  • Azure Implementation of Cloud Services
  • Azure Storage and ETL Resources


  • 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
  • Azure Monitor Components, Metrics
  • Azure Metric Charts and Timelines
  • Chart Components; Azure Insights
  • Monitor Dashboards and Auditing
  • Azure Alerts and Signal Logic
  • Conditions and Signal Value Thresholds
  • Notification & Alert Configurations

Ch 36: Azure SQL Server in VM

  • Azure Virtual Machines (VMs)
  • SQL Server with Azure VMs
  • Size, Networking and Authenitcation
  • SQL Server Connection Settings
  • Deployment and VM Verifications
  • VM Verification Options
  • SQL Server Verification Options
  • SQL Server Connections inside VM
  • Database Operitions with SSMS
  • Onpemise to AzureVM Migration
  • Azure Logical Server to VM Migrations
  • Working with Security Logins, Users
  • Comparing IaaS and PaaS

Ch 29: Azure SQL Server, Database

  • SQL Server Implementation in Azure
  • Azure SQL Server: PaaS and IaaS
  • Logical SQL Server Creation
  • Resource Name, Resource Group
  • Azure SQL Server Region, Credentials
  • Firewall Settings, Password Reset
  • SSMS Tool and ADS Tool Installation
  • Connections with SSMS Tool
  • Connections with ADS Tool
  • System Databases and Metadata
  • Database Connections and Sessions
  • Versions and Editions with Azure SQL
  • Limitations with Azure SQL Databases

Ch 33: Backups, Restores & HA DR

  • 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
  • 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
  • Multi DB Replication, Server Failover
  • Server Failover: Primary, Secondary


  • 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
  • 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 30: Azure Storage & Explorer Tool

  • Azure Storage Resource: Importance
  • Azure Storage Services: BLOB Data
  • Azure Tables, File Shares, Azure Queues
  • Azure Data Lake Storage Gen 2 (ADLS)
  • Service End Points and App Access
  • Storage Browser: Uploads, Downloads
  • Azure Storage Explorer Tool: Importance
  • Installing and Using Azure Storage Explorer
  • Generating SAS [Shared Access Signature]
  • Access Keys and Security Options
  • Data Redundancy Options: LRS, GRS, ZRS
  • Pricing Impact with ADLS Gen 2
  • Pricing Impact with Geo Replication

Ch 34: Data Sync, Active Directory

  • SQL Data Sync Service and Sync Groups
  • Sync Direction, Sync Schema & Interval
  • bi-directional Load Balancing and Failover
  • Conflict Resolutions with HUB, MEMBER
  • Cloud to Cloud, OnPremise Synchronizatio
  • SQL Server Authentication Option in Azure
  • Azure Active Directory (AD) Concepts
  • Creating Azure AD Users & AD Groups
  • IAM: Identity and Access Management
  • RBAC Roles: Owner and Contributor
  • Creating Azure AD Groups
  • Tenants and Zero Trust Defenders


  • 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)
  • 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

Ch 31: Azure SQL DB Migration

  • Azure SQL DB Migration Options
  • Using bapac Method and DMA Tool
  • DMA: Data Migration Assistant
  • Scripting Database: Objects
  • Scripting Objects and Relations
  • Migration Schemas and Data
  • Azure Storage Account: Creation
  • Azure Storage Container For BOLB
  • Generating Access Key for SSMS
  • Onpremise Database Exports
  • Generating bacpac Files, Uploads
  • Importing bacpac Files to Azure SQL
  • Verifying SQL Database Migrations


  • Firewall & Virtual Network Configurations
  • Server Firewall, Database Firewall Rules
  • System Procedures for Firewall Settings
  • Logins, Users and Roles Permissions
  • 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 39: Azure PowerShell

  • PowerShell : Realtime Use and Options
  • 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
  • Deployment Automation Scripts in Azure
DP 300 Certification Guidance

Mod 1: Azure Data Factory [ADF], Synapse

Mod 2: Azure Storage & Stream Analytics

Mod 3: Azure Databricks & SparkSQL

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
  • DP 203 Certification Guidance

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 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: 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 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 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: 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 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 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: 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 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 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: 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 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 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: 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 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 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: 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 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 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

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 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

    Real-Time Project

  • 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

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

Above course curriculum applicable for registrations from May 23rd, 2021

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