Azure SQL DBA Online Training (LIVE, Instructor-Led)

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.

Azure SQL DBA Training Plans

  PLAN A PLAN B PLAN C
SQL DBA Job Profile Azure DBA Core DBA +
Azure DBA		 Core DBA +
Azure DBA +
ETL Admin
Course Contents Ch 31 to Ch 40 Ch 21 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 ✖ ✔ ✔
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 ✖ ✔ ✔
ETL Admin ✖ ✖ ✔
ADE: Azure Data Factory [ADF] ✖ ✖ ✔
ADE: Azure Synapse ✖ ✖ ✔
ADE: Azure Storage ✖ ✖ ✔
ADE: Stream Analytics & Azure Databricks ✖ ✖ ✔
SQL DBA Course Duration 3 Weeks 9 Weeks 16 Weeks

Trainer : Mr. Sai Phanindra T

Schedules for Core DBA [Chapters 1 to 30]
S No Time (IST, Mon - Fri) Start Date  
1 6 AM - 7 AM June 26th Register
2 9 PM - 10 PM June 7th Register
Schedules for Azure DBA [Chapters 31 to 40]
S No Time (IST, Sat & Sun) Start Date  
3 6:30 AM - 8 AM (W) June 10th Register
4 9 PM - 10:30 PM (W) June 3rd Register

Azure SQL DBA 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

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

Chapter wise FAQs with Answers, Real-time Project are part of this Azure SQL DBA Online Training Course Register

Azure SQL DBA Training (with SQL Server) Contents:

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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

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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 
  • 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

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 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 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

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

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

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 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 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 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 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 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 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 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 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

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
DP 300 - Exam Samples, Guidance
Resume, Course Participation Certificate, Mock Interview

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 Dec 2nd, 2020

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