AZURE DATA ENGINER
An Azure Data Engineer is a professional who designs and builds secure, scalable, and efficient data solutions using Microsoft Azure services. They are responsible for developing and managing data pipelines, integrating structured and unstructured data from various sources, and implementing data storage solutions such as Azure Data Lake, Azure SQL, and Cosmos DB. Azure Data Engineers ensure data is cleansed, transformed, and made accessible for analytics and reporting. They work with tools like Azure Data Factory, Azure Synapse Analytics, and Azure Databricks to support business intelligence needs, while also maintaining data quality, security, and compliance across the entire data lifecycle.
Azure Data Engineer Training – Course Overview
The Azure Data Engineer Training course is designed to equip learners with the skills and knowledge required to build modern data solutions on Microsoft Azure. This course provides hands-on experience in designing and implementing data pipelines, transforming data, and managing data storage and security using various Azure services.
Learners will gain practical expertise in using tools like Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure SQL Database, and Azure Databricks. The course also covers best practices for data governance, monitoring, and optimizing data workflows in cloud environments.
Whether you are preparing for the Microsoft Certified: Azure Data Engineer Associate certification or aiming to become a proficient cloud data professional, this course offers the essential training and real-world projects needed to succeed in data engineering roles.
What Will You Learn in Azure Data Engineer Course
In the Azure Data Engineer course, you will gain in-depth knowledge and hands-on experience with Microsoft Azure’s powerful data tools and services. The course is designed to prepare you for real-world data engineering tasks as well as Azure certification exams. Here’s what you’ll learn:
✅ Data Storage & Architecture
Understand data architecture in Azure
Implement Azure Data Lake Storage Gen2, Blob Storage, and Cosmos DB
Design and manage data partitions and lifecycle policies
✅ Data Integration & ETL/ELT
Build and automate data pipelines using Azure Data Factory
Perform data transformation using Data Flows and Mapping Data Flows
Ingest data from on-premises, cloud, and streaming sources
✅ Data Processing & Analytics
Use Azure Synapse Analytics and Azure Databricks for big data processing
Implement batch and stream processing with Spark and Event Hubs
Create scalable analytics solutions across structured and unstructured data
✅ Data Security & Compliance
Implement role-based access control (RBAC)
Secure data using encryption, network rules, and firewalls
Manage metadata and lineage using Azure Purview
✅ Monitoring & Optimization
Monitor data pipelines and jobs using Azure Monitor
Optimize data performance, cost, and reliability
Handle errors and implement retry logic and alerting
✅ Certification Preparation
Prepare for Microsoft Certified: Azure Data Engineer Associate (DP-203)
Get mock tests and practice projects for hands-on experience
Azure Data Engineer Certification Training-Course Curriculum
📘 Module 1: Introduction to Azure Data Engineering
Overview of Data Engineering roles
Azure data platform components
Understanding data storage & compute options
Azure resource management basics
Setting up your Azure environment
📘 Module 2: Data Storage in Azure
Azure Data Lake Storage Gen2
Azure Blob Storage
Azure SQL Database & Synapse SQL Pools
Azure Cosmos DB (NoSQL)
Data partitioning, indexing & compression strategies
📘 Module 3: Ingesting Data with Azure Data Factory
Introduction to Azure Data Factory (ADF)
Linked services, datasets, and pipelines
Mapping vs. Wrangling Data Flows
Copy data activity and pipeline triggers
Monitoring and managing pipelines
📘 Module 4: Data Processing with Azure Synapse & Databrick
Introduction to Azure Synapse Analytics
Writing and optimizing T-SQL queries
Integrating Synapse with ADF
Introduction to Azure Databricks and Apache Spark
Notebooks, clusters, and PySpark scripting
📘 Module 5: Real-Time Data Processing
Event ingestion using Azure Event Hubs
Real-time stream processing with Azure Stream Analytics
Integration with IoT and external sources
Managing late-arriving and out-of-order data
📘 Module 6: Data Transformation & Orchestration
Transforming data using ADF Data Flows
Using U-SQL and T-SQL in data transformations
Orchestrating multiple activities in pipelines
Handling failures and retries
📘 Module 7: Data Security and Governance
Role-based access control (RBAC)
Data encryption at rest and in transit
Implementing firewall rules & private endpoints
Azure Purview for data cataloging & lineage
Data masking and classification
📘 Module 8: Monitoring & Optimization
Azure Monitor & Log Analytics
Performance tuning for data pipelines
Cost optimization strategies
Diagnostic logging and alerting
📘 Module 9: Preparing for DP-203 Certification
Overview of DP-203 exam format
Practice questions and mock tests
Tips for real exam success
Common pitfalls and how to avoid them
Key Features of Azure Data Engineer Certification Training
Instructor-Led Live Training
– Learn from certified industry experts through interactive online sessions.
🔹 Aligned with DP-203 Certification
– Full coverage of Microsoft’s official exam syllabus for Azure Data Engineer Associate.
🔹 Hands-On Labs & Real-Time Projects
– Work on real-world projects using Azure Data Factory, Synapse, Databricks, and more.
🔹 Access to Azure Sandbox Environment
– Practice in a dedicated Azure lab setup with real-time simulation.
🔹 100% Practical Approach
– Emphasis on building, deploying, and troubleshooting real data pipelines and architectures.
🔹 Lifetime Access to LMS
– Get course recordings, assignments, and resources for lifelong reference.
🔹 Mock Tests & Interview Preparation
– DP-203 mock exams, quiz assessments, and guidance for job interviews.
🔹 Resume & Career Support
– Assistance with resume building, LinkedIn profile optimization, and job placement help.
🔹 24/7 Learner Support
– Continuous support from mentors and technical teams to resolve doubts.
Job Roles After Completing Azure Data Engineer Online Training
🔹 Azure Data Engineer
– Design, build, and manage scalable data pipelines and cloud-based data solutions.
🔹 Data Engineer
– Handle end-to-end data integration, transformation, and storage across various platforms.
🔹 ETL Developer
– Develop and maintain ETL workflows using tools like Azure Data Factory and Synapse.
🔹 Big Data Engineer
– Work with large-scale data processing using Azure Databricks and Apache Spark.
🔹 Azure Synapse Developer
– Build and manage data warehouses and analytics workloads on Azure Synapse.
🔹 Cloud Data Engineer
– Implement cloud-native data pipelines and storage solutions across hybrid environments.
🔹 Data Analyst (Azure)
– Use Power BI and Synapse to visualize data and derive actionable insights.
🔹 Azure BI Developer
– Build dashboards and business intelligence solutions using Azure and Power BI.
🔹 Data Platform Engineer
– Design secure and optimized cloud data platforms using Azure services.
🔹 Data Architect (Entry-Level)
– Assist in designing scalable data architectures and cloud strategies.
Azure data Engineer Course -Frequently Asked Questions (FAQs)
❓1. Who can take this Azure Data Engineer course?
Ans: This course is ideal for data professionals, database administrators, ETL developers, software engineers, and anyone interested in data engineering or cloud computing.
❓2. Do I need coding knowledge for this course?
Ans: Basic knowledge of SQL and any programming language (like Python or Scala) is helpful but not mandatory. The course includes guidance for beginners.
❓3. What is the certification associated with this course?
Ans: The course prepares you for the Microsoft Certified: Azure Data Engineer Associate certification (Exam DP-203).
❓4. Is this course beginner-friendly?
Ans: Yes. The course starts with fundamentals and gradually progresses to advanced data engineering concepts.
❓5. Will I get hands-on practice during the course?
Ans: Absolutely. The training includes real-time projects, case studies, and access to a live Azure environment for hands-on practice.
❓6. What tools and technologies will I learn?
Ans: You’ll learn Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Databricks, Azure SQL, Cosmos DB, Power BI, and more.
❓7. Are there any prerequisites for this course?
Ans: There are no strict prerequisites, but a basic understanding of databases, cloud, or programming will be beneficial.
❓8. Will I receive a course completion certificate?
Ans: Yes, you will receive a recognized course completion certificate after successfully finishing the training.
❓9. Does this course help in job placement?
Ans: Many training providers offer career support, including resume building, interview preparation, and job referrals.
❓10. How long is the course duration?
Ans: Typically, the course duration ranges from 6 to 8 weeks, depending on the batch and learning pace (weekday/weekend).