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Azure Data Engineer Training





Course Overview
 Who Should Enroll?
Prerequisites
Learning Outcomes
Course Curriculum Modules
Real-World Scenario:
Our Azure Data Engineer Training prepares you for real-world data engineering projects on Microsoft Azure. Learn to design and implement data management, monitoring, security, and privacy using the full stack of Azure services including Azure Data Factory, Azure Synapse Analytics, Azure Data bricks, and more.
Certification Covered: Microsoft Azure Data Engineer Associate
Course Schedule
Duration: 8 weeks
Format: Live online sessions + self-paced assignments
Fees: $1800 +HST
• IT Professionals and Data Analysts
• Aspiring Data Engineers
• Database Administrators
• Freshers aiming to launch a career in Data Engineering
• Basic knowledge of SQL
• Familiarity with cloud computing concepts (preferred but not mandatory)
• Design and implement data storage solutions
• Develop batch and streaming data pipelines
• Secure, monitor, and optimize data solutions
• Perform data transformation and integration
Module 1:  Introduction to Azure Data Engineering
• Overview of Data Engineering in Cloud
• Role of an Azure Data Engineer
• Microsoft Azure Ecosystem Overview
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Module 2:  Designing and Implementing Data Storage
• Azure Blob Storage
• Azure Data Lake Gen2
• Azure SQL Database & Synapse Analytics
• Data Partitioning, Indexing, and Security
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Module 3:  Data Ingestion and Transformation
• Using Azure Data Factory Pipelines
• Connecting Different Data Sources
• Dataflows and Mapping Dataflows
• Data Wrangling in Azure Data Factory
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Module 4:  Developing Batch Data Processing Solutions
• Batch Processing with Azure Databricks
• Building ETL Pipelines
• Managing and Scheduling Pipelines
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Module 5:  Developing Streaming Data Processing Solutions
• Real-time Data Streaming with Azure Event Hub
• Stream Analytics
• Azure Data Explorer (ADX)
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Module 6:  Data Integration and Orchestration
• Data Integration Strategies
• Azure Logic Apps and Event Grid
• Hybrid Data Integration
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Module 7: Monitoring and Optimizing Data Solutions
• Azure Monitor and Log Analytics
• Query Performance Tuning
• Security Best Practices in Azure Data Solutions
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Module 8:  Exam Preparation and Mock Tests
• DP-203 Certification Preparation
• Practice Tests & Case Studies
• Interview Preparation
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Tools and Platforms Covered
• Azure Data Factory
• Azure Synapse Analytics
• Azure Databricks
• Azure SQL Database
• Azure Monitor
• Power BI (for visualization basics)
• Azure Event Hub, Stream Analytics
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Project & Placements 
Build an end-to-end data pipeline ingesting, transforming, and visualizing large datasets using Azure services.
Customized Personal Branding – Includes a tailored resume, an optimized LinkedIn profile designed to attract recruiters, and a professionally crafted cover letter.
Unlimited Mock Interviews – Practice sessions with career coaches and technical specialists to boost your confidence and performance.
Comprehensive Interview Prep Guide – Access to over 250 real-world interview questions and answers to help you prepare effectively.
Job Marketing & Placement Support – Benefit from our extensive network of IT recruiters and strategic partners to increase job opportunities.
Ongoing Career Coaching – Unlimited one-on-one sessions with a career coach throughout your job search and placement journey.


Azure Data Engineer Training

What will you learn?