ETL Admin Training from SQL School

Complete Practical and Real-time Training on ETL Admin. This Job Oriented Course includes basic to advanced Data Engineering activities including ETL (Extract, Transform, Load), DWH (Data Warehouse), Spark, Python for ETL, PySpark, Pipelines with Azure Data Factory and Synapse Analytics, Notebooks with Azure Databricks, Jobs with Azure Stream Analytics and IoT, Security with Azure Key Vaults, IAM, RBAC and 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, Security Management including Azure SQL DBA Activities like Azure Sync, Azure Server Failover, Azure Virtual Machines and Azure DB Migrations.more .. !

ETL Admin Training

  PLAN A PLAN B PLAN C
  Azure Data
Engineer		 Azure Data
Engineer +
Azure DBA 		 Azure Data
Engineer
Core DBA +
Azure DBA
Course Duration 7 Weeks 11 Weeks 17 Weeks
Completely Practical, Real-time ✔ ✔ ✔
ETL Admin ✔ ✔ ✔
ADE: Azure Data Factory [ADF] ✔ ✔ ✔
ADE: Azure Synapse ✔ ✔ ✔
ADE: Azure Storage ✔ ✔ ✔
ADE: Stream Analytics ✔ ✔ ✔
ADE: Azure Databricks ✔ ✔ ✔
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 ✖ ✖ ✔
Total Course Fee* INR 25000
USD 350		 INR 34000
USD 425		 INR 50000
USD 630

Trainer : Mr. Sai Phanindra T

Azure Data Engineer Training Schedules
S No Time (IST, Mon - Fri) Start Date  
1 7 AM - 8 AM Dec 7th Register
2 10:30 AM - 11:30 AM Dec 13th Register
3 7 PM - 8 PM Dec 4th Register
Schedules for Core DBA [Chapters 1 to 40]
S No Time (IST, Mon - Fri) Start Date  
4 6 AM - 7 AM Dec 4th Register
5 9 PM - 10 PM Dec 11th Register
 

ETL Admin Training Course Contents:

Course Curriculum

Register Today

 

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

Part 1: Azure Data Factory, Synapse Analytics

Part 2: Data Lake Storage, Stream Analytics

Part 3: Databricks, Spark, Python

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 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 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: 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 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 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: 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 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 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: 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 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 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

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 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

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: 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 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 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: 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 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 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: 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 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 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: 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 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

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

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

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)

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

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

Above course curriculum applicable for registrations from Sep 1st, 2023

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All Classes are Instructor-Led & LIVE. Completely Practical and Real-time with Study Material, Session Notes, Tasks and Mock Tests.