What you'll learn
Azure for the Data Engineer
Data Engineering Services on Azure
Data Storages on Azure
Azure Data Factory (ADF)
Python
Apache Spark
Data Engineering with Azure Databricks
Microsoft Fabric Data Engineering
Hands-on Real-time ADE Scenarios
Real-time Projects
Bonuses
Course Includes
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Live Instructor Sessions
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Real-World Projects
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Career Guidance
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Certificate of Completion
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Flexible Timings
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WhatsApp Support
Azure for the Data Engineer
Cloud Computing basics
Introduction to Microsoft Azure
Applications of Azure
Azure Services
Understanding Data
On-premises vs Cloud-based servers
Azure Data Engineer roles & tasks
Data Engineering processes
Use cases for the Cloud
Data Engineering Services on Azure
Azure Datalake Storage (ADLS) gen2
Azure Blob Storage
Azure SQL database
Azure Data Factory
Azure Databricks
Azure Synapse Analytics
Microsoft Fabric
Data Storages on Azure
File stores
Relational data store
Non-Relational data stores
Azure Blob storage
NoSQL & Azure Cosmos DB
Azure Blob Storage
Azure Data Lake Storage
Why Data Lake
Data Lake architecture
Azure SQL Database
Azure database for MySQL
Azure database for MariaDB
Azure database for PostgreSQL
Azure Synapse Analytics
Azure Data Factory (ADF)
Introduction to Azure Data Factory (ADF)
ETL vs ELT
On-prem vs Cloud ETL tools
Why ADF
ADF Components
Linked Services in ADF
Integration Runtime (IR): Azure, Self-hosted, SSIS
Pipelines and Activities: Copy Data, Control Flow, Data Flow
Data Ingestion Methods: Full Load, Copy Data Tool, Batch Load, Sequential Load, Incremental Load, CDC
Working with Various Copy Data Scenarios
Working with Azure SQL Database
Working with Control Flow Activities
Working with Data Flow Transformations
Working with Parameters in ADF
SCD Type 1 & 2 Pipelines
ADF Data Migration
Scheduling & Triggering Pipelines
Monitoring Pipelines
CI/CD in ADF
ADF Projects
Python
Variables
Datatypes in Python
Operators in Python: Arithmetic, Logical, Comparison
Working with Strings
Indexing
Slicing
Data Structures in Python: List, Tuples, Sets, Dictionaries
Functions: Built-in, User Defined
Conditional Flow Statements: If Condition, While Loop, For Iteration
Range() Function
Map
Filter
Reduce
Lambda Expressions
Apache Spark
Introduction to Apache Spark
Hadoop vs Spark
Understanding Spark Architecture
Spark Context
Spark APIs
Spark Data Structures: RDDs, DataFrames, Datasets
Creating Spark RDDs
Creating Spark DataFrames
Spark Transformations
Spark Actions
Lazy Evaluation
Fault Tolerance
Column Manipulations: WithColumn, WithColumnRenamed
Partitioning Data using Partition By
Reading & Writing Data of Various Formats
PySpark Commands
Spark SQL
Group By & Aggregate Functions
Window Functions
Joins in PySpark
Date Functions
Conditional Functions
Caching
Schema Evolution
DAG
Data Engineering with Azure Databricks
Introduction to Azure Databricks
Azure Databricks vs Databricks Community Edition
Databricks Runtime Engine
Databricks Components: Workspace, Cluster, Catalog, DBFS, Tables, Hive Metastore
DBFS
Working with Files using DBUTILS
Creating Tables: Using UI, Using Notebooks
Reading Data from Different Files
Writing Data to Different Formats
Visualization in Databricks Notebooks
Integrating Azure Blob with Databricks
Integrating ADLS with Databricks
Mounting with Access Keys
Secret Scopes using Azure Key Vault
Service Principle
SAS Tokens
Delta Lake
Creating Delta Tables: Managed Tables, External Tables
Lakehouse
Medallion Architecture: Bronze Layer, Silver Layer, Gold Layer
Scheduling Databricks Jobs using ADF Pipelines
Delta Live Tables (DLT)
Unity Catalog
Microsoft Fabric Data Engineering
Introduction to Microsoft Fabric
Fabric Analytics Platform
Fabric OneLake
Fabric Data Factory: Data Pipelines, Dataflows Gen2, Transforming Data, Loading Data to Lakehouse, Copy Job
Create Pipeline in Fabric
Transform Data with Dataflow Gen2
ADF to Fabric Migration
Fabric Synapse Data Engineering
Fabric Notebooks
Analyze Data with Apache Spark
Lakehouse
Delta Tables
Fabric Synapse Datawarehouse
Creating a Warehouse in Fabric
Ways to Load Data into Warehouse
Creating Tables in Warehouse
Loading Data using COPY INTO Command
Loading Data using Pipeline to Warehouse
Loading Data using DataFlow Gen2
Lakehouse vs Warehouse
Microsoft Power BI in Fabric
Access Data using PBI Desktop
Direct Lake
Direct Query
Row-level Security
Column-level Security
Hands-on Real-time ADE Scenarios
Creating ETL/ELT Pipelines in Azure Data Factory
Working with Control Flow Activities in ADF Pipelines
Working with Data Flow Transformations in ADF Pipelines
Ingesting Multiple File Sources using ADF Pipelines
Ingesting Multiple SQL Tables using ADF Pipeline
Implementing Batch Load & Sequential Load
Incremental Loading using Last Modify Date & Time
Incremental Loading and Change Data Capture
SCD1 Pipeline in ADF
SCD2 Pipeline in ADF
Empty File Scenarios
Total File Count in Folder
Validate Schema & Structure of Files
Copy Data from REST APIs
Email Notifications
Analyzing Data with PySpark
Analyzing Data with Spark SQL
Analyzing ADLS Data from Databricks Notebooks
Mounting & Service Principle
Creating Delta Tables
Lakehouse (Medallion) Architecture
Data Factory in Fabric
Fabric Pipelines
Fabric Dataflows Gen2 to Transform Data
Lakehouse in Fabric
Warehouse in Fabric
Visualizing Data in Power BI
Creating Dashboard in Power BI
Real-time Projects
ADF Data Migration Project (Migrating On-Prem SQL Server Data to Azure)
Incremental Loading using Last Modified Date/Time
Incremental Loading using CDC
SCD-2 Pipeline in ADF
End-to-End Databricks Project (Medallion Architecture)
Microsoft Fabric Project
Power BI Project
Bonuses
ADE Interview Questions and Answers
Mock Interviews
Placement Assistance
Fabric Certification (DP700) Support
Databricks Certification Support
Resume/CV Preparation
LinkedIn Profile Optimization
Technologies Covered
Azure Data Factory
Databricks
Synapse Analytics
SQL
Power BI
Azure Storage
Frequently Asked Questions
Yes, this course starts from fundamentals and gradually moves to advanced Azure Data Engineering concepts.
Yes, students will work on real-world ETL pipelines, cloud workflows, and analytics projects.
The course covers Azure Data Factory, Azure Databricks, ADLS Gen2, Azure Synapse Analytics, Microsoft Fabric, Power BI, PySpark, SQL, and Delta Lake.
Yes, the course includes Microsoft Fabric concepts such as Fabric Data Factory, Lakehouse, Warehouse, Dataflows Gen2, and Power BI integration.
Yes, students will build ETL/ELT pipelines, work with control flow, data flows, incremental loading, CDC, and real-time migration scenarios in Azure Data Factory.
Yes, the program includes hands-on PySpark coding, Spark SQL, Databricks notebooks, Delta tables, Medallion architecture, and end-to-end Databricks projects.
No prior cloud experience is required. Basic knowledge of databases or programming will be helpful but not mandatory.
Yes, session recordings will be shared with enrolled students for revision and practice.
Yes, the program includes mock interviews, resume preparation, LinkedIn profile optimization, and interview question discussions.
Yes, students will receive guidance for Microsoft Fabric, Databricks, and Azure-related certifications.
Yes, the course includes real-world projects such as ADF migration pipelines, Databricks Medallion architecture projects, and Power BI dashboards.
