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Azure Data Engineer Training

Course Overview:

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The Azure Data Engineer Training course is designed for professionals who aim to master the skills needed to manage and implement data solutions on Microsoft Azure. 
This comprehensive training provides in-depth knowledge and hands-on experience in the various Azure data services and tools. Participants will learn how to design, implement, and maintain data solutions to meet organizational needs, including data storage, processing, and security. The course covers essential aspects of Azure data engineering, including data ingestion, data transformation, and data integration using a variety of Azure services.

 

Course Outline:
Module 1: Introduction to Azure Data Engineering
Overview of Azure Data Engineering

Roles and Responsibilities of an Azure Data Engineer

Azure Data Services and Tools

Introduction to Azure Portal

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Module 2: Azure Data Storage Solutions
Azure Blob Storage

Overview and Architecture

Uploading and Managing Blobs

Blob Storage Tiers and Performance

Azure Data Lake Storage

Structure and Hierarchy

Data Lake Storage Gen1 vs. Gen2

Security and Access Control

Azure SQL Database

Overview and Capabilities

Data Management and Security

Scaling and Performance Optimization

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Module 3: Data Integration and ETL
Introduction to Data Integration

Azure Data Factory

Pipeline Creation and Management

Data Flow and Transformation

Integration Runtime

Azure Databricks

Introduction to Databricks

Creating and Managing Clusters

Spark SQL and DataFrames

Notebooks and Collaboration

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Module 4: Data Processing and Analytics
Azure Synapse Analytics

Overview and Architecture

Data Warehousing and Big Data Integration

Querying with SQL and Spark

Real-time Data Processing

Azure Stream Analytics

Building and Managing Streaming Jobs

Integrating with Other Azure Services

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Module 5: Data Security and Compliance
Security Best Practices

Encryption in Transit and at Rest

Role-Based Access Control (RBAC)

Managed Identities

Compliance and Governance

Data Masking

Auditing and Monitoring

GDPR and Other Compliance Standards

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Module 6: Data Visualization and Reporting
Introduction to Azure Power BI

Connecting to Data Sources

Creating Dashboards and Reports

Sharing and Collaboration

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Module 7: Advanced Data Engineering Concepts
Designing Scalable Data Solutions

Optimizing Performance and Cost

Troubleshooting and Debugging Data Pipelines

Case Studies and Best Practices

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Module 8: Hands-On Labs and Projects
Real-World Scenarios and Problem Solving

Building End-to-End Data Pipelines

Implementing Security and Compliance Measures

Performance Tuning and Optimization Exercises
 

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