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Master Azure Data Engineering β€” ADF, Synapse, ADLS & Databricks

Become a certified Azure Data Engineer β€” master ADF pipelines, ADLS Gen2 data lakes, Synapse Analytics, Azure Databricks, and Event Hubs streaming with Trainer Venu. Includes DP-203 certification prep.

⏱️ 65 Hours
πŸ“¦ 9 Modules
πŸ”¬ 18+ Labs
πŸ—‚οΈ 4 Projects
πŸ“œ DP-203 Prep
πŸ“„ Download Syllabus
No prior experience needed
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Placement support included
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β‚Ή35,000
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πŸŽ₯ Live Online + Recorded Sessions
πŸ”· Real Azure Subscription Labs
πŸ“‚ 4 End-to-End Projects
πŸ“œ DP-203 Certification Prep
🀝 Placement Support
♾️ Lifetime Recording Access
βœ… Free Demo Before Enroll
65
Training Hours
9
Modules
18+
Hands-on Labs
4
Projects
1200+
Students Placed
Who Is This For

Is This Course Right For You?

πŸ”·
Azure Cloud Engineers
Build enterprise data pipelines using ADF, ADLS, Synapse and Databricks.
πŸ—„οΈ
ETL / SQL Developers
Migrate from SSIS/on-premise ETL to Azure Data Factory and Synapse.
πŸ”₯
Databricks Engineers
Add Azure-native tools (ADF, Synapse) to your Databricks skill set.
πŸŽ“
Freshers
Target high-paying Azure data engineering roles β€” DP-203 certification included.
πŸ“Š
BI / Power BI Developers
Move up to data engineering using Azure Synapse and ADLS.
🏒
Solution Architects
Design enterprise Lakehouse platforms on Azure for large organizations.
Tools Covered
πŸ”· Azure Data Factory
πŸ”οΈ ADLS Gen2
πŸ—οΈ Azure Synapse Analytics
πŸ”₯ Azure Databricks
πŸ“¨ Azure Event Hubs
πŸ“Š Azure Stream Analytics
πŸ” Azure Purview
πŸ” Azure Key Vault
βš™οΈ Azure Functions
πŸ“¬ Azure Service Bus
❄️ Snowflake on Azure
πŸ—‚οΈ Unity Catalog
🐍 PySpark
πŸ“œ DP-203
Course Curriculum

9 Modules β€” Key Concepts

Here are the core topics you'll master. Each module includes hands-on labs with real Azure Data Engineering access.

Module 01
ADLS Gen2 Data Lake
  • Hierarchical namespace β€” containers and directories
  • RBAC and ACL β€” fine-grained access control
  • Azure Lifecycle Management policies
  • Integration with ADF, Synapse, Databricks
  • Data formats: Parquet, Delta, CSV on ADLS
Module 02
Azure Data Factory (ADF)
  • Pipelines, Activities, Datasets, Linked Services
  • Copy Activity β€” 90+ source/sink connectors
  • Data Flow β€” visual ETL with Spark execution
  • Triggers β€” Schedule, Tumbling Window, Event
  • Integration Runtime β€” Azure, Self-hosted, SSIS
Module 03
Azure Synapse Analytics
  • Synapse Workspace β€” unified analytics platform
  • Dedicated SQL Pool vs Serverless SQL Pool
  • Spark Pool β€” PySpark notebooks in Synapse
  • Synapse Pipelines β€” ADF built into Synapse
  • Synapse Link β€” operational analytics from Cosmos DB
Module 04
Azure Databricks
  • Databricks on Azure β€” Unity Catalog integration
  • Delta Lake on ADLS Gen2
  • ADF β†’ Databricks notebook activity
  • Databricks Auto Loader from Event Hubs/ADLS
  • Databricks SQL & BI dashboards
Module 05
Azure Event Hubs & Streaming
  • Event Hubs β€” managed Kafka on Azure
  • Event Hubs Capture β€” auto-save to ADLS/Blob
  • Azure Stream Analytics β€” SQL on streaming data
  • Event Hubs β†’ ADF β†’ Synapse real-time pipelines
  • IoT Hub β€” device data ingestion
Module 06
Azure Purview & Governance
  • Azure Purview β€” enterprise data catalog
  • Data lineage across ADF, Synapse, ADLS
  • Business glossary and data classification
  • Sensitive data scanning and labeling
  • Integration with Unity Catalog
M01
Azure Fundamentals for Data Engineers
⏱️ 4 Hours● Beginner
β–Ύ
Azure portal, subscriptions, resource groups
IAM β€” RBAC roles and service principals
Azure Key Vault β€” secrets management
Azure CLI and PowerShell for data engineers
VNet, subnets, private endpoints for data services
Azure Monitor β€” metrics and alerts
πŸ”¬ Azure Environment SetupπŸ“ Quiz: Azure Fundamentals
M02
ADLS Gen2 β€” Azure Data Lake
⏱️ 5 Hours● Beginner
β–Ύ
ADLS Gen2 vs Blob Storage β€” differences
Hierarchical namespace β€” containers, directories
ACLs vs RBAC β€” access control patterns
Lifecycle management β€” hot, cool, archive tiers
SAS tokens and managed identities
Integration with ADF, Synapse, Databricks
πŸ”¬ Data Lake Setup & Access Control
M03
Azure Data Factory (ADF)
⏱️ 10 Hours● Intermediate
β–Ύ
ADF architecture β€” pipelines, activities, datasets
Linked Services β€” 90+ connectors
Copy Activity β€” source to sink patterns
Data Flows β€” visual Spark ETL transformations
Mapping Data Flow β€” joins, aggregations, pivots
Integration Runtime β€” Azure vs Self-hosted
Triggers β€” Schedule, Tumbling Window, Storage Event
ADF monitoring and alerting
Git integration for ADF DevOps
πŸ”¬ ADLSβ†’ADFβ†’Synapse PipelineπŸ”¬ Incremental Load with WatermarksπŸ—οΈ Project: Full ADF Data Pipeline
M04
Azure Synapse Analytics
⏱️ 9 Hours● Intermediate
β–Ύ
Synapse Workspace β€” unified analytics
Dedicated SQL Pool β€” MPP data warehouse
Serverless SQL Pool β€” on-demand S3/ADLS queries
Spark Pool β€” PySpark notebooks
Synapse Pipelines β€” built-in ADF
PolyBase β€” query external data
Synapse Link β€” operational analytics
COPY INTO vs PolyBase performance
Synapse Purview integration
πŸ”¬ Synapse Data Warehouse BuildπŸ—οΈ Project: Synapse Analytics Platform
M05
Azure Databricks on Azure
⏱️ 8 Hours● Intermediate
β–Ύ
Databricks on Azure setup β€” workspace, clusters
ADLS Gen2 mount with managed identities
Delta Lake on ADLS Gen2
Unity Catalog with Azure AD integration
ADF β†’ Databricks notebook activity
Auto Loader from ADLS/Event Hubs
Databricks SQL β€” BI dashboards
Cost optimization on Azure Databricks
πŸ”¬ Databricks on Azure LabπŸ—οΈ Project: Lakehouse on Azure
M06
Azure Event Hubs & Streaming
⏱️ 7 Hours● Advanced
β–Ύ
Event Hubs β€” managed Kafka, partitions, consumer groups
Event Hubs Capture β€” ADLS/Blob delivery
Event Hubs SDK β€” producer and consumer
Azure Stream Analytics β€” SQL on streams
Stream Analytics windowing β€” tumbling, hopping, session
IoT Hub β€” device-to-cloud messaging
Event Hubs β†’ ADF β†’ Synapse real-time pipeline
πŸ”¬ Event Hubs Streaming Lab
M07
Azure Functions & Orchestration
⏱️ 6 Hours● Advanced
β–Ύ
Azure Functions β€” serverless event-driven ETL
Function triggers β€” Timer, Event Hubs, Blob, HTTP
Durable Functions β€” workflow orchestration
Logic Apps β€” low-code integrations
ADF vs Synapse Pipelines vs Airflow
Azure Service Bus β€” message queuing
Cost optimization β€” consumption vs premium plans
πŸ”¬ Serverless ETL with Functions
M08
Azure Purview & Data Governance
⏱️ 4 Hours● Advanced
β–Ύ
Azure Purview β€” enterprise data catalog
Automated scanning and classification
Data lineage — ADF→ADLS→Synapse tracking
Business glossary and stewardship
Sensitive data β€” GDPR, PII identification
Integration with Unity Catalog
Microsoft Purview vs Open-source alternatives
πŸ“ Quiz: Data Governance
M09
Projects & DP-203 Certification Prep
⏱️ 12 Hours● Advanced
β–Ύ
Project 1 β€” Batch: ADLS β†’ ADF β†’ Synapse β†’ Power BI
Project 2 β€” Streaming: Event Hubs β†’ Stream Analytics β†’ ADLS
Project 3 β€” Lakehouse: Databricks + Delta Lake on ADLS
Project 4 β€” Full Platform: ADF + Synapse + Purview + Databricks
DP-203 Azure Data Engineer Associate exam prep
100+ practice questions with explanations
Resume and LinkedIn for Azure roles
πŸ—οΈ 4 Real Azure ProjectsπŸ“ DP-203 Mock Tests
Career Outcomes

Azure Data Engineering Professionals Earn Top Salaries

Azure Data Engineers are in extremely high demand across India. ADF + Synapse + Databricks is the most sought-after skill combination for data roles at top MNCs.

Entry Level
β‚Ή10–18 LPA
0–2 Years
Mid Level
β‚Ή18–35 LPA
2–5 Years
Senior Level
β‚Ή35–70+ LPA
5+ Years
Student Success Stories

1200+ Professionals Placed at Top Companies

β˜…β˜…β˜…β˜…β˜…
"The ADF Data Flows and Synapse Analytics modules were the best I've seen. Trainer Venu explained complex concepts with real examples. Got placed at HCL!"
MS
Meera Sharma
SQL Dev β†’ Azure Data Engineer
βœ… HCL Β· β‚Ή21 LPA
β˜…β˜…β˜…β˜…β˜…
"I cleared the DP-203 exam in my first attempt! The certification prep in Module 9 was thorough and well-structured. Now working at Capgemini!"
RT
Ravi Teja
ETL Dev β†’ Azure Engineer
βœ… Capgemini Β· β‚Ή18 LPA
β˜…β˜…β˜…β˜…β˜…
"As a Power BI developer, this course helped me move into data engineering. The ADF and ADLS labs were very hands-on. Placed at TCS!"
PN
Preethi Nair
BI Dev β†’ Data Engineer
βœ… TCS Β· β‚Ή14 LPA
View All Placement Stories β†’
FAQs

Frequently Asked Questions

Does this course cover the DP-203 Azure Data Engineer exam? β–Ύ
Yes! Module 9 has dedicated DP-203 exam preparation with 100+ practice questions, mock tests, and proven exam strategies. Many of our students have cleared the exam.
Do I need an Azure subscription for the labs? β–Ύ
Yes β€” you need an Azure account (free tier is sufficient for most labs). We guide you through setup, and most lab costs are minimal with the free $200 credit.
What is the difference between ADF and Synapse Pipelines? β–Ύ
ADF is standalone; Synapse Pipelines is ADF built into Synapse Analytics. We cover both in depth, explaining when to use which for enterprise scenarios.
Is Azure Databricks covered in this course? β–Ύ
Yes — Module 5 is dedicated to Azure Databricks: workspace setup, Delta Lake on ADLS, Unity Catalog with Azure AD, and ADF→Databricks integration.
What salary can I expect after certification? β–Ύ
Entry level: β‚Ή10–18 LPA. Mid-level: β‚Ή18–35 LPA. Azure Data Engineers with DP-203 and Databricks experience are among the highest-paid professionals in India.
πŸ”₯ Limited Early Bird Offer

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