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Azure Data Engineer Online Training
One of the top providers of online IT training worldwide is VISWA Online Trainings. To assist beginners and working professionals in achieving their career objectives and taking advantage of our best services, We provide a wide range of courses and online training.
About Course
🌐 What Is Azure Data Engineer?
An Azure Data Engineer is a skilled professional responsible for designing, building, managing, and optimizing data pipelines and data storage solutions within the Microsoft Azure ecosystem. The Azure Data Engineer Training equips learners with the expertise to work on end-to-end data integration, transformation, and analytics workflows using Azure’s powerful data services.
This training focuses on real-world applications of Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake, and Azure SQL — enabling professionals to design secure, scalable, and high-performance data architectures for business insights and AI-driven solutions.
Core Capabilities Include:
- Data Ingestion & Integration: Design and manage pipelines using Azure Data Factory.
- Data Transformation: Process big data using Azure Databricks and PySpark.
- Data Storage & Management: Store structured and unstructured data in Azure Data Lake, Synapse, and SQL Database.
- Data Security & Compliance: Implement access control, encryption, and data governance.
- Real-Time Data Streaming: Use Event Hubs, Stream Analytics, and IoT Hub for live data processing.
- Analytics & Visualization: Enable reporting and insights with Power BI integration.
📊 Course Features Typically Included
Top online training platforms (like Viswa Online Trainings, Udemy, Coursera, and Microsoft Learn) offer the following features for Azure Data Engineer Training:
- ✅ Live instructor-led classes and recorded tutorials
- ✅ Hands-on labs and projects in Azure environments
- ✅ Real-time data pipeline and ETL project scenarios
- ✅ Certification and interview preparation support
- ✅ Lifetime access to Azure learning materials, labs, and recordings
- ✅ Step-by-step guidance for deploying and managing enterprise data solutions
🎓 Key Learning Outcomes
After completing the Azure Data Engineer Training, learners will be able to:
- Understand Azure Data Engineering architecture and services
- Build and orchestrate data pipelines using Azure Data Factory
- Process and transform data with Azure Databricks (PySpark)
- Design and manage data storage with Azure Synapse Analytics and Data Lake
- Implement security, monitoring, and governance for data solutions
- Perform real-time analytics using Azure Stream Analytics and Event Hubs
- Integrate Azure data solutions with Power BI for visualization and reporting
- Optimize data workflows and ensure performance efficiency across pipelines
Roles Prepared For:
- Azure Data Engineer
- Data Engineer (Cloud / Big Data)
- Data Analytics Engineer
- ETL Developer
- Azure Solution Architect
📍 Bonus: Certification Tracks
Learners can pursue globally recognized certifications such as:
- 🏅 Microsoft Certified: Azure Data Engineer Associate (DP-203)
- 🏅 Microsoft Certified: Azure Solutions Architect Expert
- 🏅 Databricks Certified Data Engineer
- 🏅 Viswa Online Trainings – Azure Data Engineer Professional Certification
Azure Data Engineer Training Course Syllabus
SQL
- Introduction to SQL
- Set Operations
- SQL Operators
- Aggregate Functions and Group by Clause
- Updating and Deleting Data in Existing Table (DML)
- Views
Assignment-I
Assignment-II - Advanced Queries
- Integrity Constraints
- Analytical Queries
- Understanding ROLLUP and CUBE
- Understanding Joins
- Scalar Subqueries
- Case Expressions
- Multitable Insert and Merge
- Regular Expression
- Statistical Functions
- Model Queries
- SQL Quiz
Python
- Introduction to Python and Writing Our First Python Program
- DataTypes in Python
- Operators in Python
- Input and Output
- Control Statements in Python
- Arrays in Python
- Strings and Characters
- Functions
- Lists and Tuples
- Dictionaries
- Introduction to OOPS
- Classes and Objects
- Inheritance and Polymorphism
- Abstract Classes and Interfaces
- Exceptions
- Files in Python
- Regular Expressions in Python
- Data Structures in Python
- Date and Time
- Threads
- GUI
- Networking in Python
- Database Connectivity
ADF (Azure Data Factory)
- Introduction to Azure
- Azure Portal Overview
- Creating an Azure Data Factory
- Creating an Azure Data Lake
- Creating Storage Accounts
- Linked Services
- Datasets
- Pipelines
- Copy Activity
- Databricks Activity
- Get Metadata Activity
- General Activities
- Move and Transform activities
- Iteration and conditional activities
- Azure Functions
- DataFlows
- Integration RunTimes
- Triggers
- Real-time Scenarios
Pyspark and Azure DataBricks
- Spark and Data Bricks Architecture
- Mounting ADLS with Azure Data Bricks
- RDDs
- DataFrames
- Parallelize () and repartition
- Struct Type and Struct Field
- Select, With column and with column renamed
- Collect
- UDF
- Join()
- Dataframe Operations
- Reading different Files
- Pyspark SQL Functions
- Mounting to Databricks
- Cluster Types and setting up the clusters
- Pyspark Built-in Functions
- Cosmos DB connectivity with Azure Databricks
Real Time Scenarios and Project
- Real-Time Scenarios and Project
- Real-Time Scenarios and Interview Questions for SQL
- Real-Time Scenarios and Interview Questions for Python
- Real-Time Scenarios and Interview Questions for Pyspark
- Real-Time Scenarios and Interview Questions for ADF and ADB
- Project Explanation
Azure Data Engineer Course Key Features
- Live Instructor based training with software
- Certification Oriented content
- Hands-on complete Realtime training
- Flexible schedule demo's & classes
- Live recorded videos access
- Study material provided
- JOB Assistance
Course completion certificate
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Live Virtual Training
- Schedule your sessions at your comfortable with timings
- Instructor-Led training real time projects
- Certification Guidance
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- Complete set of live-online training session recorded videos.
- Learn technology at your own pace.
- Get access for lifetime.
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- Learn as a full day schedule with discussions, exercises.
- Practical use cases.
- Design your own syllabus based
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Azure Data Engineer Online Training FAQ'S
What does an Azure Data Engineer do in an organization?
An Azure Data Engineer designs and builds secure, scalable data pipelines that support analytics, reporting, and AI initiatives using Azure cloud services.
What is Azure Data Factory and why is it important?
Azure Data Factory is a serverless data integration tool that enables building ETL and ELT workflows to move and transform data at scale.
How does Azure Synapse Analytics support business intelligence?
Azure Synapse offers data warehousing and analytics capabilities, combining big data and relational data for enterprise-grade reporting.
What role does Azure Databricks play in Azure data solutions?
Azure Databricks supports data engineering, data science, and machine learning workflows, making it key for advanced analytics solutions
How is security managed in Azure Data Engineering projects?
Security is enforced through Azure AD authentication, RBAC, data encryption, and Key Vault integration to protect sensitive data.
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